Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Our client combines distributed computing, simulation and machine learning to recreate the second by second dynamics of city transport networks. These mirror worlds give both people and autonomous agents the ability to foresee the near future of the flows of people, goods and vehicles in the environment around them and adjust their behaviour accordingly. Using this technology, they've developed an autonomous fleet scheduling and dispatch system that's being adopted by some of the biggest public transport operators in Europe. Now looking for a great frontend developer to help roll out this system to more clients. A fast growing and diverse team of urban modelling experts, software engineers and data scientists, driven by a shared desire to improve the world around them, to bring something impactful and unique to market and to create a rewarding, fun, working environment. The culture is built around mutual respect, a drive to delight customers and a passion for innovation. They value independent thinking, hard work and honesty. Your mission You will help build great software that people will love interacting with for many hours every day, software that helps staff and managers deliver business transformation through automation and unlock more time for higher value, creative system planning and design. You will take a lead in software design, implementation and testing for the front end components of the system , working in a fast paced, iterative development process on a dynamic product that is evolving rapidly. You will be involved with all stages of development, from initial feature conception through to new version release and testing with our customers. You will have the freedom to determine the most appropriate tools and technologies needed to get the job done and influence the long term strategy for product engineering and the strategic future of our frontend tech stack. You will be working within a cross-functional team where you will share responsibility for software development, integration and deployment process, ensuring the quality and reliability of the product. Over time, they are planning on growing a dedicated web development team that will take ownership of building robust, scalable, customer-facing software. Regardless of the team configuration, they would like to see you taking ownership and technical leadership as you grow in experience with the company. O ffering in-house and external training opportunities, they're keen to support the further career development of employees. What they're looking for: Solid commercial experience in developing interactive web front-ends in Javascript/Typescript using modern framework(s) (e.g. React, Angular or Vue). You're invited to apply if you have 3+ years of experience; if you are more (or much more!) experienced than that you can expect to be hired to a more senior role. Experience with modern web development processes using Node.js, WebPack, etc. Understanding of client-side performance and cross browser compatibility Experience working with RESTful interfaces and an understanding of API design Experience with testing framework(s) such as Jest, Enzyme Experience with designing UI components using software such as Figma Passion for building maintainable, scalable software Self-starter who is able to take ownership of projects You can offer your opinion and respectfully reason with people, but equally commit to the direction decided by the majority after being heard Also of value: Experience in scientific data visualisation Experience with mapping interface Experience with WebGL Experience building real-time applications Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
Our client combines distributed computing, simulation and machine learning to recreate the second by second dynamics of city transport networks. These mirror worlds give both people and autonomous agents the ability to foresee the near future of the flows of people, goods and vehicles in the environment around them and adjust their behaviour accordingly. Using this technology, they've developed an autonomous fleet scheduling and dispatch system that's being adopted by some of the biggest public transport operators in Europe. Now looking for a great frontend developer to help roll out this system to more clients. A fast growing and diverse team of urban modelling experts, software engineers and data scientists, driven by a shared desire to improve the world around them, to bring something impactful and unique to market and to create a rewarding, fun, working environment. The culture is built around mutual respect, a drive to delight customers and a passion for innovation. They value independent thinking, hard work and honesty. Your mission You will help build great software that people will love interacting with for many hours every day, software that helps staff and managers deliver business transformation through automation and unlock more time for higher value, creative system planning and design. You will take a lead in software design, implementation and testing for the front end components of the system , working in a fast paced, iterative development process on a dynamic product that is evolving rapidly. You will be involved with all stages of development, from initial feature conception through to new version release and testing with our customers. You will have the freedom to determine the most appropriate tools and technologies needed to get the job done and influence the long term strategy for product engineering and the strategic future of our frontend tech stack. You will be working within a cross-functional team where you will share responsibility for software development, integration and deployment process, ensuring the quality and reliability of the product. Over time, they are planning on growing a dedicated web development team that will take ownership of building robust, scalable, customer-facing software. Regardless of the team configuration, they would like to see you taking ownership and technical leadership as you grow in experience with the company. O ffering in-house and external training opportunities, they're keen to support the further career development of employees. What they're looking for: Solid commercial experience in developing interactive web front-ends in Javascript/Typescript using modern framework(s) (e.g. React, Angular or Vue). You're invited to apply if you have 3+ years of experience; if you are more (or much more!) experienced than that you can expect to be hired to a more senior role. Experience with modern web development processes using Node.js, WebPack, etc. Understanding of client-side performance and cross browser compatibility Experience working with RESTful interfaces and an understanding of API design Experience with testing framework(s) such as Jest, Enzyme Experience with designing UI components using software such as Figma Passion for building maintainable, scalable software Self-starter who is able to take ownership of projects You can offer your opinion and respectfully reason with people, but equally commit to the direction decided by the majority after being heard Also of value: Experience in scientific data visualisation Experience with mapping interface Experience with WebGL Experience building real-time applications Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
What we do At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who are we Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Digital Client Experience teams in Asset Management provide clients with innovative and customer-centered financial products to drive transformative changes. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. Our Digital teams comprise of three main businesses, underpinned by engineering, product operations, security and risk management: Digital Client Experience Engineering Digital Client Experience Engineering teams build transformative cutting-edge digital platform and processes that form the core of our key business across liquidity, marketing and sales. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design principals. As an engineer on the Digital Client Experience team, you will have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. You will be one the main drivers helping evolve our product strategy as we continue to ensure we are a market leader. This will involve you being asked to come up with creative and commercial solutions to the various problems the team is tackling, and also for us to be able to lean on your leadership when executing those choices. We are looking for engineers who can drive a whole feature from design to execution, as well as engineers who can deep dive into why an API is taking half a second longer than it should. Our team has a large variety of problems to tackle across the entire stack. Day to Day Responsibilities As a marketing technology developer you will Implement and optimise features on our Adobe suite including Experience Manager, Marketo, Target, Audience, and Analytics, to drive effective marketing campaigns and enhance customer experiences. Drive the design of critical components in the platform as well as oversee the implementation of new features, focusing on code quality, automation and testability. Contribute to the vision, understand our product roadmap and contribute to building an engineering culture within our global team. Collaborate with a global cross functional team in building customer-centric products Contribute to SDLC documentation and guidance including templates, patterns, and controls. Perform code reviews and system design reviews and establish code quality standards and software best practices for a distributed systems architecture. Mentor and help develop more junior technical talents. Communicate with leadership, engineers, and business teams. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. Basic Qualifications Proficiency with Adobe Marketing solutions (such as Adobe Experience Manager, Analytics, Marketo & Campaign). Strong proficiency with Java, Sightly and SQL Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Technology, or a related field. Knowledge of web analytics, Core Web Vitals and SEO best practices. Experience with microservices architecture and API development. Ability to translate business goals into technical requirements. Strong analytical and problem-solving skills. Strong written and verbal communication skills. Culture of excellence and collaboration Comfort with Agile operating models Energetic, self-directed, and self-motivated. Passion for staying up to date with the latest marketing technologies and industry trends. Preferred Qualifications Certifications in Adobe Marketing Cloud. Experience and familiarity with other CRM systems and marketing automation tools Experience with A/B testing and optimisation Familiarity with tag management systems. Experience with microservice architectures Strong proficiency in: Distributed systems, Low-latency services, NoSQL and relational databases Proficiency in JavaScript, HTML and CSS. Experience with AWS Experience working directly with clients / users a plus ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What we do At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here. Who are we Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Digital Client Experience teams in Asset Management provide clients with innovative and customer-centered financial products to drive transformative changes. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. Our Digital teams comprise of three main businesses, underpinned by engineering, product operations, security and risk management: Digital Client Experience Engineering Digital Client Experience Engineering teams build transformative cutting-edge digital platform and processes that form the core of our key business across liquidity, marketing and sales. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design principals. As an engineer on the Digital Client Experience team, you will have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. You will be one the main drivers helping evolve our product strategy as we continue to ensure we are a market leader. This will involve you being asked to come up with creative and commercial solutions to the various problems the team is tackling, and also for us to be able to lean on your leadership when executing those choices. We are looking for engineers who can drive a whole feature from design to execution, as well as engineers who can deep dive into why an API is taking half a second longer than it should. Our team has a large variety of problems to tackle across the entire stack. Day to Day Responsibilities As a marketing technology developer you will Implement and optimise features on our Adobe suite including Experience Manager, Marketo, Target, Audience, and Analytics, to drive effective marketing campaigns and enhance customer experiences. Drive the design of critical components in the platform as well as oversee the implementation of new features, focusing on code quality, automation and testability. Contribute to the vision, understand our product roadmap and contribute to building an engineering culture within our global team. Collaborate with a global cross functional team in building customer-centric products Contribute to SDLC documentation and guidance including templates, patterns, and controls. Perform code reviews and system design reviews and establish code quality standards and software best practices for a distributed systems architecture. Mentor and help develop more junior technical talents. Communicate with leadership, engineers, and business teams. We are looking for someone with lots of energy that enjoys engineering challenges and has a passion to deliver high quality technology solutions and is able to operate in a highly fluid, rapidly changing environment. Basic Qualifications Proficiency with Adobe Marketing solutions (such as Adobe Experience Manager, Analytics, Marketo & Campaign). Strong proficiency with Java, Sightly and SQL Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Technology, or a related field. Knowledge of web analytics, Core Web Vitals and SEO best practices. Experience with microservices architecture and API development. Ability to translate business goals into technical requirements. Strong analytical and problem-solving skills. Strong written and verbal communication skills. Culture of excellence and collaboration Comfort with Agile operating models Energetic, self-directed, and self-motivated. Passion for staying up to date with the latest marketing technologies and industry trends. Preferred Qualifications Certifications in Adobe Marketing Cloud. Experience and familiarity with other CRM systems and marketing automation tools Experience with A/B testing and optimisation Familiarity with tag management systems. Experience with microservice architectures Strong proficiency in: Distributed systems, Low-latency services, NoSQL and relational databases Proficiency in JavaScript, HTML and CSS. Experience with AWS Experience working directly with clients / users a plus ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Head of InfoSec Engineering The Role The Infosec Engineering team is responsible for defining and implementing technology that improves the security of our estate and makes it easier for engineers to make better security choices. The team works closely with the Infosec team, who are responsible for SecOps and risk compliance, as well as the other infrastructure and development teams. As the manager of this small team, you should have some experience as team or technology lead and be familiar with the technical detail of the work. For example, one day you may be working with vendors to select the next network monitoring hardware/software, and the next helping automate IAM/JLT processes using Python against an API. This is a very collaborative role, and you will work with engineers and managers across Man at all levels. The role requires you to be able to understand technology to a deep level, but also communicate to stakeholders, and provide guidance and leadership. You will be an ambassador and champion for improving security, with a passion for how security can be improved balancing the trade-off between productivity and risk. Our Technology Our end-user platform consists of a mix of Windows and Mac laptops and desktops. We operate a hybrid WFH model, so many users are connected over our GlobalProtect VPN. On servers we run a mix of Windows and Linux (physical, and virtualized in VMWare and Openstack). Linux is used to provide a developer/researcher desktop environment, accessed through Citrix. We run a mix of Crowdstrike, Proofpoint, Tessian, Tenable and other 3rd party tools to monitor and gather information about our estate. In addition we build tools using primarily Python to automate solutions. Our technologists and researchers use a constantly evolving set of systems, tools, and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. Working Here Man Technology has a small company feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest and most highly skilled and passionate technologists. Essential Excellent distributed team management and communication skills A track record of delivering complex technology projects with stakeholder interaction Great technology skills Proficient on Linux platforms with software development knowledge. Ability to interact with, and develop, APIs - ideally in Python. Ability to survey and evaluate the software/hardware landscape for solutions and pick the best fit solution from a range of criteria. Advantageous An understanding of financial markets and instruments Experience with DevOps methodology and tooling for software development Previous experience working with IAM / IGA tools Knowledge of Windows and Active Directory Personal Attributes Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
Head of InfoSec Engineering The Role The Infosec Engineering team is responsible for defining and implementing technology that improves the security of our estate and makes it easier for engineers to make better security choices. The team works closely with the Infosec team, who are responsible for SecOps and risk compliance, as well as the other infrastructure and development teams. As the manager of this small team, you should have some experience as team or technology lead and be familiar with the technical detail of the work. For example, one day you may be working with vendors to select the next network monitoring hardware/software, and the next helping automate IAM/JLT processes using Python against an API. This is a very collaborative role, and you will work with engineers and managers across Man at all levels. The role requires you to be able to understand technology to a deep level, but also communicate to stakeholders, and provide guidance and leadership. You will be an ambassador and champion for improving security, with a passion for how security can be improved balancing the trade-off between productivity and risk. Our Technology Our end-user platform consists of a mix of Windows and Mac laptops and desktops. We operate a hybrid WFH model, so many users are connected over our GlobalProtect VPN. On servers we run a mix of Windows and Linux (physical, and virtualized in VMWare and Openstack). Linux is used to provide a developer/researcher desktop environment, accessed through Citrix. We run a mix of Crowdstrike, Proofpoint, Tessian, Tenable and other 3rd party tools to monitor and gather information about our estate. In addition we build tools using primarily Python to automate solutions. Our technologists and researchers use a constantly evolving set of systems, tools, and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. Working Here Man Technology has a small company feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest and most highly skilled and passionate technologists. Essential Excellent distributed team management and communication skills A track record of delivering complex technology projects with stakeholder interaction Great technology skills Proficient on Linux platforms with software development knowledge. Ability to interact with, and develop, APIs - ideally in Python. Ability to survey and evaluate the software/hardware landscape for solutions and pick the best fit solution from a range of criteria. Advantageous An understanding of financial markets and instruments Experience with DevOps methodology and tooling for software development Previous experience working with IAM / IGA tools Knowledge of Windows and Active Directory Personal Attributes Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
My client is an institutional investment firm, founded in 2001, dedicated to delivering consistent, uncorrelated absolute returns in all market environments. A growing firm, they understand that maintaining a culture where people are energized to come to work is paramount to success. Their team is motivated to perform each and every day. The Macro Technology Team is seeking a FX Quantitative Researcher. The ideal candidate will have a degree (PhD/MSc/BSc) in a scientific topic (physics, mathematics, electrical engineering, computer science or similar) as well as: Expert C++ programmer: this firm uses C+ and would like to move to C+. Coupled with the ability to produce well-engineered code. At least 3 years' experience working in a team on a large codebase, ideally in a quantitative setting, e.g. finance, gaming, industrial automation, machine learning, astrophysics. Interest and expertise in Python; they use Python to wrap the C++ analytics for Jupyter or web portals, orchestrate the components, etc. and/or expertise in delivering complex analytics code into Excel, e.g. xll, Microsoft VSTO, Excel DNA, etc.; ideally, how to "hack" Excel to get the power of VBA without ever having to go near it. They'd like to see interest in cloud technologies, in particular Docker, Kubernetes, but above all a willingness to pitch in and explore and learn new technologies that will benefit the team. Interest or experience in other languages or technologies a bonus, e.g. C# / .net, functional programming languages, distributed direct acyclic graphs, message queues, SQL and NoSQL databases, etc. Mathematics to at least UK A-level standard: you should be comfortable with matrices, linear algebra, basic probability and statistics, optimization, what a derivative is, etc. If you don't write this kind of code yourself, you will be working with colleagues who do. Experience in finance, specifically knowledge of Interest Rates or FX products Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
My client is an institutional investment firm, founded in 2001, dedicated to delivering consistent, uncorrelated absolute returns in all market environments. A growing firm, they understand that maintaining a culture where people are energized to come to work is paramount to success. Their team is motivated to perform each and every day. The Macro Technology Team is seeking a FX Quantitative Researcher. The ideal candidate will have a degree (PhD/MSc/BSc) in a scientific topic (physics, mathematics, electrical engineering, computer science or similar) as well as: Expert C++ programmer: this firm uses C+ and would like to move to C+. Coupled with the ability to produce well-engineered code. At least 3 years' experience working in a team on a large codebase, ideally in a quantitative setting, e.g. finance, gaming, industrial automation, machine learning, astrophysics. Interest and expertise in Python; they use Python to wrap the C++ analytics for Jupyter or web portals, orchestrate the components, etc. and/or expertise in delivering complex analytics code into Excel, e.g. xll, Microsoft VSTO, Excel DNA, etc.; ideally, how to "hack" Excel to get the power of VBA without ever having to go near it. They'd like to see interest in cloud technologies, in particular Docker, Kubernetes, but above all a willingness to pitch in and explore and learn new technologies that will benefit the team. Interest or experience in other languages or technologies a bonus, e.g. C# / .net, functional programming languages, distributed direct acyclic graphs, message queues, SQL and NoSQL databases, etc. Mathematics to at least UK A-level standard: you should be comfortable with matrices, linear algebra, basic probability and statistics, optimization, what a derivative is, etc. If you don't write this kind of code yourself, you will be working with colleagues who do. Experience in finance, specifically knowledge of Interest Rates or FX products Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
Who we are / the team: Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do. At Bloomberg, we have the richest and most comprehensive financial datasets and analytics in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. What's in it for you: We are looking for an experienced professional with a background in designing and delivering products for large scale data and quant analytics to help us create an industry leading solution. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. The team is global, located in London, New York and San Francisco. We are expanding the team, along with similar hiring in our Engineering department, to accelerate the range of products and use cases we support within BQuant. Your role: As a product manager, you will be responsible for identifying target markets, challenges worth solving, and how to solve them, as well as executing upon that strategy. Examples of areas you could be working on include: Data solutions to help customers discover, access and manage data to drive quantitative research, analytics and application building in BQuant. Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design and deliver turnkey data access. Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc. Product ownership of revenue generating BQuant offerings ranging from core solutions for equity, fixed income, and macro quants to advanced solutions including Intraday Analytics and Textual Analytics. We'll trust you to: Formulate the vision and execution strategy for your product area. Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services. Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation. You'll need to have: 7+ years in quantitative research, portfolio management, or execution research ideally across multiple asset classes 3+ years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs Deep knowledge of use cases across buy side and sell side, asset classes, and different trading strategies. Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management. We'd love to see: Experience with the management and usage of multi-asset, alternative and proprietary data in finance An advanced degree in a STEM subject or Economics / Finance Familiarity with Bloomberg products including the Bloomberg Terminal and Enterprise products Experience with public cloud providers such as AWS or Azure Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .
May 01, 2024
Full time
Who we are / the team: Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more. We are passionate about what we do. At Bloomberg, we have the richest and most comprehensive financial datasets and analytics in the world. Our powerful enterprise products serve a large and diverse client base from data intensive analytics to trading. The Bloomberg Quant Platform (BQuant) is the frontier of our work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies. What's in it for you: We are looking for an experienced professional with a background in designing and delivering products for large scale data and quant analytics to help us create an industry leading solution. This is a unique opportunity to join a cross-functional team with Product, Engineering, Quant, CTO, and Client teams. The team is global, located in London, New York and San Francisco. We are expanding the team, along with similar hiring in our Engineering department, to accelerate the range of products and use cases we support within BQuant. Your role: As a product manager, you will be responsible for identifying target markets, challenges worth solving, and how to solve them, as well as executing upon that strategy. Examples of areas you could be working on include: Data solutions to help customers discover, access and manage data to drive quantitative research, analytics and application building in BQuant. Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design and deliver turnkey data access. Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration etc. Product ownership of revenue generating BQuant offerings ranging from core solutions for equity, fixed income, and macro quants to advanced solutions including Intraday Analytics and Textual Analytics. We'll trust you to: Formulate the vision and execution strategy for your product area. Drive the design and delivery of end-to-end products that are built on the Bloomberg Quant Platform and Bloomberg's Data and Services. Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis and operational requirements. Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation. You'll need to have: 7+ years in quantitative research, portfolio management, or execution research ideally across multiple asset classes 3+ years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs Deep knowledge of use cases across buy side and sell side, asset classes, and different trading strategies. Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management. We'd love to see: Experience with the management and usage of multi-asset, alternative and proprietary data in finance An advanced degree in a STEM subject or Economics / Finance Familiarity with Bloomberg products including the Bloomberg Terminal and Enterprise products Experience with public cloud providers such as AWS or Azure Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .
The Team Machine Learning Technology is a small and agile team that facilitates the use of m achine l earning tools across Man Group , with a particular focus on generative AI. Alongside developing and provisioning the platform, we also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As a n engineer in the Machine Learning Technology team, you will help to develop a cutting-edge platform used by teams across Man Group. Your role will involve collaborating closely with these teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space . This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. Our Technology Our platform utilises Python for the backend and for developer APIs, with the frontend tooling written using TypeScript and React. Our development and production environments are based on Linux and the teams we work a nd collaborate with will typically be heavy users of the Python scientific stac k . We also engage with teams who work primarily in Java or C#. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology . See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. quant tech We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, a make r -space and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Demo n strable e nthusiasm for AI engineering and harnessing it to create impact ; stays up to date with major advancements in AI tools and models A proponent of collaborative software engineering techniques and methods Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Advantageou s Experience with language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models ( e.g. large language models or diffusion-based models) Experience building and deploying data visualisation tools Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
The Team Machine Learning Technology is a small and agile team that facilitates the use of m achine l earning tools across Man Group , with a particular focus on generative AI. Alongside developing and provisioning the platform, we also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As a n engineer in the Machine Learning Technology team, you will help to develop a cutting-edge platform used by teams across Man Group. Your role will involve collaborating closely with these teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space . This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. Our Technology Our platform utilises Python for the backend and for developer APIs, with the frontend tooling written using TypeScript and React. Our development and production environments are based on Linux and the teams we work a nd collaborate with will typically be heavy users of the Python scientific stac k . We also engage with teams who work primarily in Java or C#. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology . See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. quant tech We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, a make r -space and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Demo n strable e nthusiasm for AI engineering and harnessing it to create impact ; stays up to date with major advancements in AI tools and models A proponent of collaborative software engineering techniques and methods Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Advantageou s Experience with language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models ( e.g. large language models or diffusion-based models) Experience building and deploying data visualisation tools Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
The Client One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment. The Role Looking for a keen AI enthusiast to join the small, agile Machine Learning group, where you will help facilitate the use of machine learning tools company-wide, in particular generative AI. Your primary focus will be to develop a cutting-edge platform used by teams across the firm. Collaborating closely with these teams and individuals to deeply understand their needs, you'll guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet requirements. Offering the opportunity to make significant contributions across the business, you'll develop solutions to problems which until recently were considered impossible, or extremely difficult, to solve. Their core systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on. Requirements Passion for AI engineering, someone who stays up to date with major advancement in AI tools and models Strong development knowledge of Python Experience of data analysis techniques, plus numpy, scipy, pandas, etc. Solid Linux platforms experience with various scripting languages Proponent of collaborative software engineering techniques and agile methods Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Keen interest & understanding of financial markets Nice to have Prior experience of language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models (e.g. large language models or diffusion-based models) Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
May 01, 2024
Full time
The Client One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment. The Role Looking for a keen AI enthusiast to join the small, agile Machine Learning group, where you will help facilitate the use of machine learning tools company-wide, in particular generative AI. Your primary focus will be to develop a cutting-edge platform used by teams across the firm. Collaborating closely with these teams and individuals to deeply understand their needs, you'll guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet requirements. Offering the opportunity to make significant contributions across the business, you'll develop solutions to problems which until recently were considered impossible, or extremely difficult, to solve. Their core systems run on Linux and most code is written in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. But they're also constantly evaluating new technologies, tools and libraries, meaning you can shape the technology landscape and make an impact early on. Requirements Passion for AI engineering, someone who stays up to date with major advancement in AI tools and models Strong development knowledge of Python Experience of data analysis techniques, plus numpy, scipy, pandas, etc. Solid Linux platforms experience with various scripting languages Proponent of collaborative software engineering techniques and agile methods Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university Keen interest & understanding of financial markets Nice to have Prior experience of language processing techniques or toolkits such as NLTK Experience designing or utilising document search tools Experience utilising or fine-tuning generative models (e.g. large language models or diffusion-based models) Benefits Competitive salary + generous bonuses Extra perks including a personal development allowance and sponsorship Central London office with a very smart, friendly tech team Flat-structured, transparent and collaborative environment, 'no-attitude' culture Regular social events, plus annual company trips and team offsites Contact To apply for this role, or for further information, please contact: Maia Ellis
Data Scientist Tasks Design, implement and test data science and machine learning models; including Data cleansing and preparation, Data exploration, Feature engineering Develop and implement statistical models and algorithms to analyse complex data sets Provide actionable insights and recommendations based on data analysis Communicate findings to clients through reports, presentations, and visualizations Work with cross-functional teams to integrate data-driven solutions into client business processes Stay current with industry trends and emerging technologies in data science and analytics Benefits Extensive training opportunities (e.g. Azure cloud certifications) Structured career progression - at Reply we encourage career growth and will give you the tools and guidance to achieve subject matter expertise and management capabilities Diverse and vibrant environment - you will be surrounded by peers who share your passion for technology and innovation Opportunities to get involved in Hackathons, Code Challenges and Lab Camps Your education doesn't need to stop here! Reply pride themselves on continuously learning about emerging technologies Opportunity to work on projects with some of the world's leading brands Qualifications A minimum 2:1 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in Python, R, and SQL An excellent understanding of key data science and machine learning concepts The ability to communicate technical concepts to a non-technical audience at a high level Comfortable working with Git Experience with any cloud platform (Azure, AWS, GCP) or data visualization tools such as Power BI or Tableau are a plus About Aim Reply AIM Reply's aspiration is to enable enterprises to leverage, industrialise, and monetise Artificial Intelligence capabilities for business transformation, growth, and value. The guiding mission is to establish a world-class boutique AI consulting and services firm. Brought together with a set of industry-focused offerings (Retail/FMCG; Manufacturing/Logistics and Financial Services/Insurance), AIM fosters dedicated partnerships with big tech companies and a network of AI start-ups.
May 01, 2024
Full time
Data Scientist Tasks Design, implement and test data science and machine learning models; including Data cleansing and preparation, Data exploration, Feature engineering Develop and implement statistical models and algorithms to analyse complex data sets Provide actionable insights and recommendations based on data analysis Communicate findings to clients through reports, presentations, and visualizations Work with cross-functional teams to integrate data-driven solutions into client business processes Stay current with industry trends and emerging technologies in data science and analytics Benefits Extensive training opportunities (e.g. Azure cloud certifications) Structured career progression - at Reply we encourage career growth and will give you the tools and guidance to achieve subject matter expertise and management capabilities Diverse and vibrant environment - you will be surrounded by peers who share your passion for technology and innovation Opportunities to get involved in Hackathons, Code Challenges and Lab Camps Your education doesn't need to stop here! Reply pride themselves on continuously learning about emerging technologies Opportunity to work on projects with some of the world's leading brands Qualifications A minimum 2:1 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in Python, R, and SQL An excellent understanding of key data science and machine learning concepts The ability to communicate technical concepts to a non-technical audience at a high level Comfortable working with Git Experience with any cloud platform (Azure, AWS, GCP) or data visualization tools such as Power BI or Tableau are a plus About Aim Reply AIM Reply's aspiration is to enable enterprises to leverage, industrialise, and monetise Artificial Intelligence capabilities for business transformation, growth, and value. The guiding mission is to establish a world-class boutique AI consulting and services firm. Brought together with a set of industry-focused offerings (Retail/FMCG; Manufacturing/Logistics and Financial Services/Insurance), AIM fosters dedicated partnerships with big tech companies and a network of AI start-ups.
The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
May 01, 2024
Full time
The Team Machine Learning Technology is a small and agile team that facilitates the use of machine learning tools across the firm, with a particular focus on generative AI. Alongside developing and provisioning the platform, you'll also consult with teams throughout the business assisting them in transforming their concepts into high-impact solutions. As an engineer in the ML Technology team, you'll help to develop a cutting-edge platform, collaborating closely with company-wide teams and individuals to deeply understand their needs and guide them in leveraging the platform. Where required, you will also use both the platform and your expertise to design and implement bespoke solutions to meet their requirements. Positioned at the crossroads of finance and the burgeoning field of AI engineering, the Machine Learning Technology team exists in a rapidly progressing space. This team provides an opportunity to make significant contributions across the business, developing solutions to problems that were very recently considered to be either impossible or extremely difficult to solve. The Technology Core systems are almost all running on Linux and most of the code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries used extensively. For storage, they rely heavily on MongoDB. They use Docker, Kubernetes and Airflow to streamline deployments and leverage OpenFin and React for front-end development. Because of the small team size and the dynamic nature of the business, technology choices are not static and team members can explore new technologies freely. This means you will be able to shape the technology landscape and have a high impact early on. Working Here This fund has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. They are actively engaged with the broader technology community. They host and sponsor London's PyData & Machine Learning Meetups and open-source some of their technology They regularly talk at leading industry conferences, and tweet about relevant technology and how they're using it. They have a fantastic open-plan office overlooking the River Thames, and continually strive to make the environment a great place in which to work. Regular social events; from photography to climbing, karting, wine tasting and monthly team lunches Annual away days and off-sites for the whole team Canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening As well as PCs and Macs, you'll find loads of cool tech including light cubes and 3D printers, guitars, ping-pong and table-football, and a piano. Technology and Business Skills Essential: Substantial quant development engineering experience Excellent team management and communication skills A knowledge of a modern data-science stack Demonstrable programming experience, ideally in Python, Java, (C++ desirable) Experience of the challenges of dealing with large data sets, both structured and unstructured Used a range of open source frameworks and development tools, e.g. NumPy/SciPy/Pandas, Spark, Kafka, Flink Working knowledge of one or more relevant database technologies, e.g. Oracle, Postgres, MongoDB, ArcticDB. Proficient on Linux Advantageous: An excellent understanding of financial markets and instruments An understanding of quantitative portfolio allocation approaches Prior experience of working with financial market data Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Relevant mathematical knowledge, e.g. statistics, time-series analysis. Personal Attributes: Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Excellent interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits Proud to provide the best working environment possible for all of its employees, they are committed to equality of opportunity. They believe that a diverse workforce is a critical factor in the success of the business, and this is embedded in the culture and values. Running a number of external and internal initiatives, partnerships and programmes which help them to attract and develop talent from diverse backgrounds and encourage diversity and inclusion; they're also a Signatory of the Women in Finance Charter. They offer comprehensive, firm-wide employee benefits, including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes. Contact If this sounds like you, or you'd like more information, please get in touch: George Hutchinson-Binks ()
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. About Parameta Solutions Parameta Solutions, the data and analytics division of inter-broker dealer TP ICAP, is a leading global provider of OTC Market Data. From pre to post trade, their solutions help clients manage complex markets more effectively. In May 2022, the firm became an FCA authorized benchmark administrator. This license has allowed the company to take on administration of the nine TP ICAP interest rate swaps benchmarks that were previously administered by Moorgate Benchmarks. In April 2023, the firm was also approved as an ESMA authorised benchmark administrator, making it the first IDB to administer OTC benchmarks and indices across Europe AND the UK. Central to Parameta's purpose is partnering with clients to create true value. The team is focussed on helping clients navigate changing market conditions, not only by providing world-class proprietary data but also the analysis and insight that will fuel their strategies. Role Overview Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / e ntrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business. Role Responsibilities Build python apps to query, analyse and combine financial datasets using a variety of computational techniques Build dashboards to monitor and visualise application data Support and further development of existing applications Build quality control tools to ensure data quality across products Experience / Competences Essential Masters or PhD in data science/mathematics/engineering or a related field. Demonstrate experience in a Python Developer role Knowledge of SQL Experience working with large, complex data sets Demonstratable problem solving skills Experience with airflow, snowflake, docker, CI/CD Desired Practical hands-on industry experience working in a numerical/computational role Works well with data engineering, product and sales teams in cross team collaborations Experience with AWS/Azure/GCP cloud technologies Experience with GenAI/machine learning Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
May 01, 2024
Full time
The TP ICAP Group is a world leading provider of market infrastructure. Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible and innovative solutions. Through our people and technology, we connect clients to superior liquidity and data solutions. The Group is home to a stable of premium brands. Collectively, TP ICAP is the largest interdealer broker in the world by revenue, the number one Energy & Commodities broker in the world, the world's leading provider of OTC data, and an award winning all-to-all trading platform. The Group operates from more than 60 offices in 27 countries. We are 5,300 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. About Parameta Solutions Parameta Solutions, the data and analytics division of inter-broker dealer TP ICAP, is a leading global provider of OTC Market Data. From pre to post trade, their solutions help clients manage complex markets more effectively. In May 2022, the firm became an FCA authorized benchmark administrator. This license has allowed the company to take on administration of the nine TP ICAP interest rate swaps benchmarks that were previously administered by Moorgate Benchmarks. In April 2023, the firm was also approved as an ESMA authorised benchmark administrator, making it the first IDB to administer OTC benchmarks and indices across Europe AND the UK. Central to Parameta's purpose is partnering with clients to create true value. The team is focussed on helping clients navigate changing market conditions, not only by providing world-class proprietary data but also the analysis and insight that will fuel their strategies. Role Overview Ideally the successful candidate will have practical experience working on data-driven applications in a collaborative environment. You will be responsible for building scalable data apps in Python with a strong focus on code quality and following OOP design patterns. Our group has a start-up / e ntrepreneurial approach with an open mind to the most suitable tools, following best practices and with scope to explore. Our tech stack includes Python, Snowflake, Jupyter, Gitlab, Docker, Airflow and AWS. We work closely with the data engineering team to deliver high quality apps across the business. Role Responsibilities Build python apps to query, analyse and combine financial datasets using a variety of computational techniques Build dashboards to monitor and visualise application data Support and further development of existing applications Build quality control tools to ensure data quality across products Experience / Competences Essential Masters or PhD in data science/mathematics/engineering or a related field. Demonstrate experience in a Python Developer role Knowledge of SQL Experience working with large, complex data sets Demonstratable problem solving skills Experience with airflow, snowflake, docker, CI/CD Desired Practical hands-on industry experience working in a numerical/computational role Works well with data engineering, product and sales teams in cross team collaborations Experience with AWS/Azure/GCP cloud technologies Experience with GenAI/machine learning Not The Perfect Fit? Concerned that you may not meet the criteria precisely? At TP ICAP, we wholeheartedly believe in fostering inclusivity and cultivating a work environment where everyone can flourish, regardless of your personal or professional background. If you are enthusiastic about this role but find that your experience doesn't align perfectly with every aspect of the job description, we strongly encourage you to apply. You may be the ideal candidate for this position or another opportunity within our organisation. Our dedicated Talent Acquisition team is here to assist you in recognising how your unique skills and abilities can be a valuable contribution. Don't hesitate to take the leap and explore the possibilities. Your potential is what truly matters to us. Company Statement We know that the best innovation happens when diverse people with different perspectives and skills work together in an inclusive atmosphere. That's why we're building a culture where everyone plays a part in making people feel welcome, ready and willing to contribute. TP ICAP Accord - our Employee Network - is a central to this. As well as representing specific groups, TP ICAP Accord helps increase awareness, collaboration, shares best practice, and holds our firm to account for driving continuous cultural improvement. Location UK - 135 Bishopsgate - London
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm. Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3,Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 2-5 years of hands-on software development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm. Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3,Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 2-5 years of hands-on software development experience preferably in Java, C/C++, Python, or Scala, exposure to RDBMS and NoSQL datastores Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
May 01, 2024
Full time
What We Do At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . The Controllers division is responsible for financial control and regulatory obligations of the firm. They safeguard the assets of the firm through an independent scrutiny of the financial information and ensure accurate reporting to internal and external consumers. They provide critical metrics and related analysis to the firm's and divisions' leadership to navigate the evolving business strategy, including incumbent and strategic initiatives. Controllers play an important role in the changing landscape of the firm, including its new business ventures and acquisitions, and ensure that these new initiatives are in line with the regulatory expectations as well as controlled in terms of their incorporation into the firm Finance engineers help ensure the firm meets all of its financial control and reporting obligations. Working in small and nimble teams, we build critical and complex software to calculate profit and loss (P&L), measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory filings across the globe. OUR Impact: Finance Engineering is responsible for designing and implementing solutions to manage the firm's P&L, measure and monitor the firm's capital, balance sheet and liquidity metrics, and regulatory obligations. Our global agile teams (based across Americas, EMEA and Asia) develop and manage the platforms, calculation engines, and analytical tools that controllers, risk management, and deal-making teams use to project, monitor and report externally to regulators for both regular business activity and under stress scenarios. YOUR Impact: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge software and platforms that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and process billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field. This position provides a unique opportunity to gain subject matter expertise in both technology and finance, and to directly engage with colleagues and senior management from across the business, Risk, Finance, and Engineering. Why join the team? Tools & Technologies: You'll program in Java and model data using Alloy/Legend - a data management and data governance open source platform that we will teach you. Read more on Bloomberg . Other technologies in use in our space: RESTful services, Maven/Gradle, Apache Spark, BigData, HTML 5, AngularJs/ReactJs, IntelliJ, Gitlab, Jira. Cloud Technologies: You'll be involved in building the next generation of finance systems onto the cloud platforms, one of the key strategies for the division in which you'll get exposure to technologies like AWS S3, Snowflake, EMR etc. Autonomy: You'll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm's clients. Creativity: You'll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. Interpersonal Communication: You'll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. This role offers an excellent opportunity to learn and interact with a range of businesses and products across the firm. RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES In an Agile environment manage end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance Develop high level and detailed technical designs, testing strategies, and implementation plans Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance Understand and respond to business needs, facilitating and developing process workflow, data requirements, and specifications required to support implementation Build strong relationships with business partners Identify opportunities for cross-divisional collaboration and reuse of common solutions Provide technical and functional guidance and leadership to junior members on a need basis Build and maintain key financial metric calculation models and associated infrastructure to support forward-looking business strategies and decisions in a evolving regulatory landscape Work closely with a wide range of stakeholders globally, including Controllers, Risk, Operations, and various business units SKLLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or Master's degree in Computer Science or related technical discipline 5+ years of hands-on software development experience preferably in Java, C/C++, Python, competent in traditional (RDBMS) and modern datastores (NoSQL) Strong programming and problem solving skills A clear understanding of data structures, algorithms, software design and core programming concepts Strong full-stack technical design and development skills and experience Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team Excellent communication skills including experience speaking to technical and business audiences and working globally Interest in finance ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise. We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs. What's the role? As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market. You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision. We'll trust you to: Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3+ years of programming experience in a development and/or production environment Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Understanding of data quality standard methodologies to improve the value of the dataset Proven track record of effective project management and a customer focused mentality We'd like to see: Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it) Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience designing optimal database structures Experience working in an Agile development team Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or
May 01, 2024
Full time
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients. Our Team: Our Securities Credit Data teams are responsible for the timely and accurate entry of new bonds and loans being brought to market, secondary market review and updates, as well as extensive client facing support. In addition, responsibilities include developing new data pipelines, implementing data validations, reviewing processes for efficiencies, finding opportunities to expand data sets. Our Private Credit team work closely with internal partners including the Engineering, Core Product, News and Enterprise. We are committed to delivering best-in-class quality and improving and expanding our Private Credit offerings through a deep understanding of market dynamics alongside our clients' current and future needs. What's the role? As a Data Engineer for Private Credit, you will use your domain expertise to handle and improve the financial data that feeds Bloomberg products, identify innovative workflow efficiencies, implement technical solutions to enhance our systems, products and processes, and establish links with key players in the financial market. You will be responsible for the data management of publicly filed Private Credit data by BDCs (Business Development Companies) as well as creating pipelines from additional sources, establishing and implementing our automation, data alignment and data quality strategies. You will ensure the best use of our existing Private Credit data as well as leading the technical implementation of on-boarding new datasets. You will use your experience to define what a fit-for-purpose data product looks like. You will work to plan and deliver the data modeling and technology strategy and roadmap which should align to the overall product vision. We'll trust you to: Develop data-driven strategies, balancing the best of technical, product, financial and dataset knowledge, and work with our engineering and product departments to craft solutions Be responsible for the end-to-end data ingestion of Ownership datasets including long positions and short position holdings data, transactional data, and derived datasets such as the free float field Analyze internal processes to find opportunities for improvement, as well as implement innovative solutions Communicate and collaborate across team members and complementary teams including Engineering, Product, Enterprise Data, and News Design data models to create data storage solutions for our raw and enriched data and contribute to our data alignment strategy by following the FAIR data principles Develop data quality strategies for the Ownership datasets and implement scalable, lasting solutions Use data visualization skills to report on results of ongoing operations and projects, as required You'll need to have: Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 3+ years of programming experience in a development and/or production environment Proficiency using scripting languages to build pre-processing services that can be integrated in our data pipelines A proven grasp of data modeling principles and technologies to perform requirements analysis as well as conceptual, logical, and physical modeling Experience profiling new datasets, and implementing high volume, low-latency ETL pipelines Understanding of data quality standard methodologies to improve the value of the dataset Proven track record of effective project management and a customer focused mentality We'd like to see: Advanced degree/Master's degree or equivalent experience in a Finance or STEM subject and/or CFA designation (or working towards it) Familiarity with use cases of sophisticated statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing Experience designing optimal database structures Experience working in an Agile development team Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
The Team Alternative Discretionary Technology is a small and agile team that works very closely with the front-office teams in the UK as well as the US for Man's discretionary strategies that operate in non-traditional markets. We develop and support a number of platforms for underwriting and ongoing management of private market assets like buy-to-rent housing portfolios, real estate debt and credit risk. As a developer in Alt Discretionary Tech, you will develop and deploy features for every system that we've built as you communicate requirements and issues with the front-office teams in a way that is markedly different to dealing with exchange-listed securities. Dealing with Real Assets means working with tangible things like properties that have real-world physical and human interactions to cater for in our financial models. Quant technology in private and alternative markets is a rapidly growing space in which Man is demonstrably on the cutting edge so there are opportunities here to make significant contributions in shaping this alongside the investment teams. Our Technology The target technology stack is on Linux with the majority of the code written in Python, using the full scientific stack like pandas and scikit-learn. We also have C# integrations with Excel, and several web-based tools using a variety of languages and frameworks like React, Streamlit, FastAPI, Django, modern Angular and PHP. We are heavy users of Man's own high performance proprietary database ArcticDB, alongside traditional RDBMS'. Generative AI forms a growing part of our estate as it rapidly evolves and we find more use-cases in automation for our stakeholders. All our code is deployed using Kubernetes and modern cluster computing frameworks. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as a make-space, tech lending library and music room with guitars and a piano. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, optimisation algorithms. Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience in private market investment - for example real estate and private debt Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Strong interpersonal skills; able to establish and maintain a close working relationship with traders, quantitative researchers, and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Team mentoring experience; as a senior engineer you will be able to support and teach junior quants the best practices in software development and financial engineering. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Infrastructure Technology Lead The Role The Platform Engineering team is responsible for the High Performance Compute infrastructure as well as End-User IT at Man Group. In Platform Engineering we build the foundational tech used to power our Research and Development, Front-Office Production Systems and End-User devices across a multi-national organisation. The team contains a mix of skills including Software Developers, System Administrators, and specialist Operations roles. As a manager within this team, you should have existing experience as a technology lead. You will be a familiar with the detail of the work and be able to provide guidance and necessary leadership to the members in their delivery. This role will give you the opportunity to build the future infrastructure for Man's hedge funds. This is a very collaborative role, and you will work with managers and engineers across Man at all levels. The role requires you to lead engineers and communicate appropriately to stakeholders managing projects to successful delivery. You will be an ambassador and champion for systematically improving a large technology estate, with a passion for some of: python, kubernetes, open source, automation, software delivery, developer / end-user experience, and have had an impact in engineering delivery in your previous role. Our Technology Our technology platform consists of a mix of Windows and Mac laptops and desktops. In our data centres our servers run a mix of Linux and Windows (physical, and virtualized in VMWare and OpenStack). Kubernetes is widely used and all internal applications are deployed in containers. Linux is used to provide a developer/researcher desktop environment, accessed through Citrix. Our technologists and researchers use a constantly evolving set of tools and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana & Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. Working Here Man Technology has a small company feel. It is open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest and most highly skilled and passionate technologists. Essential Excellent distributed team management and communication skills A track record of delivering complex technology projects with stakeholder interaction Great technology skills Proficient on Linux platforms with software development experience. Ability to interact with, and develop, APIs - ideally in Python. Creativity applying technology to solve business challenges Advantageous An understanding of financial markets and instruments Experience with DevOps methodology and tooling for software development Personal Attributes Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
Infrastructure Technology Lead The Role The Platform Engineering team is responsible for the High Performance Compute infrastructure as well as End-User IT at Man Group. In Platform Engineering we build the foundational tech used to power our Research and Development, Front-Office Production Systems and End-User devices across a multi-national organisation. The team contains a mix of skills including Software Developers, System Administrators, and specialist Operations roles. As a manager within this team, you should have existing experience as a technology lead. You will be a familiar with the detail of the work and be able to provide guidance and necessary leadership to the members in their delivery. This role will give you the opportunity to build the future infrastructure for Man's hedge funds. This is a very collaborative role, and you will work with managers and engineers across Man at all levels. The role requires you to lead engineers and communicate appropriately to stakeholders managing projects to successful delivery. You will be an ambassador and champion for systematically improving a large technology estate, with a passion for some of: python, kubernetes, open source, automation, software delivery, developer / end-user experience, and have had an impact in engineering delivery in your previous role. Our Technology Our technology platform consists of a mix of Windows and Mac laptops and desktops. In our data centres our servers run a mix of Linux and Windows (physical, and virtualized in VMWare and OpenStack). Kubernetes is widely used and all internal applications are deployed in containers. Linux is used to provide a developer/researcher desktop environment, accessed through Citrix. Our technologists and researchers use a constantly evolving set of tools and libraries. Most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in Java and C++. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana & Prometheus for metrics collection, ELK for log shipping and monitoring, Docker and Kubernetes for containerisation, OpenStack for our private cloud, Ansible and Terraform for architecture automation, and Slack for internal communication. Working Here Man Technology has a small company feel. It is open, transparent and collaborative, and you will have plenty of opportunity to have enormous impact on the firm. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire the brightest and most highly skilled and passionate technologists. Essential Excellent distributed team management and communication skills A track record of delivering complex technology projects with stakeholder interaction Great technology skills Proficient on Linux platforms with software development experience. Ability to interact with, and develop, APIs - ideally in Python. Creativity applying technology to solve business challenges Advantageous An understanding of financial markets and instruments Experience with DevOps methodology and tooling for software development Personal Attributes Strong academic record and a degree (or equivalent industrial experience) with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Strong interpersonal skills; able to establish and maintain a close working relationship with your team, quantitative researchers, traders and senior business people alike Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Confident communicator; able to argue a point concisely and deal positively with conflicting views. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Summary Enthusiastic Software Engineer wanted for one of the world's leading hedge funds where you'll use your solid engineering expertise to create innovative, next-generation software solutions which drive the whole investment process. Within a fast-paced, dynamic environment, this position would suit someone who is continually striving to improve solution efficiency and effectiveness, and who is keen to expand their knowledge and expertise on this next step in their career. This role will give you the opportunity to design, develop and deploy critical solutions while working closely with business leaders, including high availability, high throughput systems scaling to millions of transactions per second. You will also receive structured learning on technical and quantitative skills with the support of the firm's CTO. If you have a passion for software development and a passion for learning new technologies, this is perfect for you! Requirements Bachelor's, Master's or PhD degree in Computer Science from top-tier institution 3-5 years' expertise with one or more OO language (e.g. Java, C++, Python) Deep knowledge of distributed service oriented architecture, relational databases, machine learning/deep learning Sound experience building high performance, highly available and scalable systems Proficiency in building complex software systems successfully taken up by users Rewards & Incentives Hugely collaborative environment; fantastic opportunity to learn new tech Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas Work with the latest technologies on complex problems Contact If you feel you are suitable for this role, or would like more information, drop me an email: Jack Peck e t
May 01, 2024
Full time
Summary Enthusiastic Software Engineer wanted for one of the world's leading hedge funds where you'll use your solid engineering expertise to create innovative, next-generation software solutions which drive the whole investment process. Within a fast-paced, dynamic environment, this position would suit someone who is continually striving to improve solution efficiency and effectiveness, and who is keen to expand their knowledge and expertise on this next step in their career. This role will give you the opportunity to design, develop and deploy critical solutions while working closely with business leaders, including high availability, high throughput systems scaling to millions of transactions per second. You will also receive structured learning on technical and quantitative skills with the support of the firm's CTO. If you have a passion for software development and a passion for learning new technologies, this is perfect for you! Requirements Bachelor's, Master's or PhD degree in Computer Science from top-tier institution 3-5 years' expertise with one or more OO language (e.g. Java, C++, Python) Deep knowledge of distributed service oriented architecture, relational databases, machine learning/deep learning Sound experience building high performance, highly available and scalable systems Proficiency in building complex software systems successfully taken up by users Rewards & Incentives Hugely collaborative environment; fantastic opportunity to learn new tech Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas Work with the latest technologies on complex problems Contact If you feel you are suitable for this role, or would like more information, drop me an email: Jack Peck e t
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Portfolio Management is responsible for all of AHL's fund optimisation and allocation research along with monitoring our fund performance and reviewing our quant process. As a quantitative developer in the PM Tech team, you will be working on AHL's simulation, analytics, and reporting infrastructure; for monitoring our gearing, allocations and implementation shortfall; along with developing and supporting our production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. The ideal candidate will have a strong understanding of financial markets, a solid grasp of portfolio analytics, an interest in analysing strategy and fund performance, and is familiar with the concepts of statistics and optimisation. This is a front office facing role, working closely with quantitative researchers and developers across multiple teams. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team AHL Portfolio Management is responsible for all of AHL's fund optimisation and allocation research along with monitoring our fund performance and reviewing our quant process. As a quantitative developer in the PM Tech team, you will be working on AHL's simulation, analytics, and reporting infrastructure; for monitoring our gearing, allocations and implementation shortfall; along with developing and supporting our production optimisers and the engineering needed to implement any outcomes of Portfolio Management research. The ideal candidate will have a strong understanding of financial markets, a solid grasp of portfolio analytics, an interest in analysing strategy and fund performance, and is familiar with the concepts of statistics and optimisation. This is a front office facing role, working closely with quantitative researchers and developers across multiple teams. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We offer competitive compensation, a generous holiday allowance, along with various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills We strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Expert knowledge in Python Experience of signal research implementation Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Understands portfolio optimization and risk leveraging optimization workflows Experience with trade automation and order generation Proficient on Linux platforms with knowledge of various scripting languages Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views. Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities. Demonstrable passion for technology e.g. personal projects, open-source involvement. Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
AWS Project Manager About Storm Reply: Storm Reply is the Reply Group company specialised in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise and many years of experience in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is Amazon Web Services Premier Consulting Partner since 2014, one of the best Amazon Partners in the world, and one of the few companies to have so many different competencies attested by AWS: Financial Services, Security, Machine Learning, SaaS, Data & Analytics, DevOps, Industrial Software, IoT, Migration, Oracle. Storm Reply is also a partner for AWS Managed Service Provider program since 2013 and AWS Well-Architected program since 2018. Role overview: As an AWS Project Manager, you will have the opportunity to drive and maintain the direction of platform engineering and IoT delivery teams. This involves forging strong relationships with customers at various levels of seniority as well as creating delivery roadmaps and key milestones to track project delivery. You'll love our extensive training and learning opportunities including Scrum, Agile and AWS cloud certifications. Reply encourages career growth and will give you the tools and guidance to achieve subject matter expertise as well as management capabilities. Responsibilities: Lead stakeholder management, project performance reporting, team management, and ensure on-time, budget-compliant deliverables Create delivery roadmaps and key milestones to track project delivery Facilitate Scrum ceremonies for project delivery teams Develop a means to measure team performance and guide teams to the desired state of performance About the candidate: A minimum Bachelor's degree (2.1 or higher) is required in IT, Computer Science, or in a Technology-related field Experience of co-ordinating technical teams and implementing project management processes and / or tools Working knowledge of Agile and Lean Software delivery methodologies Experience in delivering AWS solutions Reply provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.
May 01, 2024
Full time
AWS Project Manager About Storm Reply: Storm Reply is the Reply Group company specialised in the design and implementation of innovative Cloud-based solutions and services. Through consolidated expertise and many years of experience in the creation and management of Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS) Cloud solutions, Storm Reply supports important companies in Europe and all over the world in the implementation of Cloud-based systems and applications. Storm Reply is Amazon Web Services Premier Consulting Partner since 2014, one of the best Amazon Partners in the world, and one of the few companies to have so many different competencies attested by AWS: Financial Services, Security, Machine Learning, SaaS, Data & Analytics, DevOps, Industrial Software, IoT, Migration, Oracle. Storm Reply is also a partner for AWS Managed Service Provider program since 2013 and AWS Well-Architected program since 2018. Role overview: As an AWS Project Manager, you will have the opportunity to drive and maintain the direction of platform engineering and IoT delivery teams. This involves forging strong relationships with customers at various levels of seniority as well as creating delivery roadmaps and key milestones to track project delivery. You'll love our extensive training and learning opportunities including Scrum, Agile and AWS cloud certifications. Reply encourages career growth and will give you the tools and guidance to achieve subject matter expertise as well as management capabilities. Responsibilities: Lead stakeholder management, project performance reporting, team management, and ensure on-time, budget-compliant deliverables Create delivery roadmaps and key milestones to track project delivery Facilitate Scrum ceremonies for project delivery teams Develop a means to measure team performance and guide teams to the desired state of performance About the candidate: A minimum Bachelor's degree (2.1 or higher) is required in IT, Computer Science, or in a Technology-related field Experience of co-ordinating technical teams and implementing project management processes and / or tools Working knowledge of Agile and Lean Software delivery methodologies Experience in delivering AWS solutions Reply provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.