35 jobs found

Salary: £94,500 - 105,240 per year Requirements I have a strong background in low latency network engineering, including TCP/IP, multicast, traffic shaping, and performance analysis. I possess proven experience with packet capture and analysis tools (such as Wireshark, tcpdump, Corvil/PICO) and can build custom decoders, which is highly advantageous. I am familiar with SRE tools and practices, including infrastructure as code (IaC), CI/CD pipelines, error budgets, and reliability-focused SLIs/SLOs. I have strong working knowledge of messaging middleware (Solace, 29West, Tibco, LBM, or equivalent) in performance-sensitive environments. I am proficient in scripting and automation using Python, Bash, or PowerShell to streamline monitoring, alerting, and recovery workflows. I have knowledge of FIX, market data, and order routing protocols in a trading environment. I have exposure to observability platforms such as ITRS Geneos, Prometheus, Grafana, or custom telemetry stacks. I am comfortable working across Linux systems, hybrid infrastructure, and global production environments. I possess excellent communication and reporting skills, with the ability to translate technical data into actionable business insights. Responsibilities I will deliver and support low latency connectivity and monitoring solutions for the Global Markets business, aligned with front-office trading and regulatory needs. I will apply SRE principles to improve availability, latency, performance, and capacity planning across trading infrastructure. I will collaborate with network and platform engineers to design reliable, self-healing systems and reduce manual intervention through automation. I will own and execute the Global Markets connectivity roadmap, from project delivery through to operational handoff and lifecycle management. I will partner with business stakeholders and platform owners to ensure infrastructure and observability tooling meets evolving trading requirements. I will monitor and manage the capacity and performance of global connectivity systems, working with regional teams to aggregate local intelligence. I will develop and maintain automated alerting, health checks, and dashboards, supporting proactive detection of issues and system degradation. I will lead lab-based testing and benchmarking initiatives for new connectivity solutions, ensuring readiness for production deployment. I will produce operational and performance KPIs, SLO/SLI metrics, and executive summaries to support senior decision-making. Technologies Bash CI/CD Grafana Support Linux Network PowerShell Prometheus Python TCP/IP TIBCO ASP.NET More This role is for a Network Engineer in our UK ITS AS (ENET) team, responsible for supporting and managing the infrastructure that underpins our electronic business (Electronic Trading or Pre-Trade). I will work closely with core Infrastructure teams, development, and the business to respond to requests and fault reports, often needing to resolve issues quickly, under pressure, and sometimes outside of normal hours. In addition to routine tasks, I will engage in numerous infrastructure projects that require completion. This is a 6-month hybrid role, requiring 3 days on-site in London, with a rate of £506. last updated 25 week of 2026

Location: London (Hybrid - 3 days in office) Type: Full time Are you ready to step into a high-performance environment at the heart of global markets? We're looking for a motivated and technically skilled eTrading Production Support Engineer to join our fast paced Application Support team based in London. You'll be part of a global organisation, supporting cutting edge eTrading platforms used across key financial hubs including New York, Tokyo, and Singapore. What You'll Do: Oversee the day to day production support for critical FX applications Monitor system health, perform capacity and performance management, and resolve incidents efficiently Lead change management activities, including planning, scheduling, and implementing upgrades Collaborate with developers, business analysts, and infrastructure teams to enhance platform performance, stability, and low latency capabilities Develop automation tools and scripts to support operational efficiency Take ownership of specific applications and tools, becoming the subject matter expert in those areas Participate in an on call rota and occasional weekend work to support production deployments What We're Looking For: Strong Python scripting skills for building tools and automation Solid understanding of Linux (Red Hat), with a focus on performance tuning Broad IT knowledge, preferably within a trading or financial services environment Hands on experience with: Scripting: Python, Shell, SQL DevOps tools: Jenkins, Ansible, Artifactory Monitoring: ITRS Geneos, Zabbix, or similar Networking: solid understanding of firewall infrastructure and multicast messaging Familiarity with electronic trading systems (FX or other asset classes) Exposure to low latency, high availability trading environments Project delivery experience in a production or infrastructure setting We Need Someone Who Is: Strong communicator and natural collaborator Analytical thinker with a hands on approach to problem solving Organised, detail oriented, and comfortable handling multiple priorities Self starter with the drive to learn new technologies and systems quickly

Role Overview Talan is seeking an experienced Application Support Engineer to join a high-performing global team supporting the eTrading environment for a leading investment banking client. Operating within a Production & Application Support function, this role sits at the heart of front-office trading technology, ensuring the stability, performance, and continuous improvement of critical electronic trading platforms. You will work in a complex, low-latency environment supporting high-volume trading flows, interacting closely with trading desks, development teams, and infrastructure specialists across a global follow-the-sun support model. Key Responsibilities Oversee day-to-day production support activities, including monitoring, incident management, and capacity planning Act as a key point of contact for issue resolution, liaising with traders, developers, infrastructure teams, and external vendors Take ownership of assigned applications and platforms, developing deep technical expertise Support and enhance electronic trading systems, including pricing engines, algorithmic trading components, and STP workflows Manage connectivity to external trading venues (e.g. exchanges, ECNs, market data providers) Contribute to system design improvements, focusing on resilience, scalability, and performance optimisation Coordinate release and change management activities, ensuring robust deployment processes Participate in a shift-based rota (7am-6pm coverage) and on-call support, including occasional weekend work Collaborate with global teams across Europe, North America, and Asia within a follow-the-sun support model Continuously improve documentation, monitoring, and operational processes Required Skills & Experience Strong experience in Application Support within electronic trading or capital markets environments Solid expertise across Linux and Windows server environments Experienced withinWintel Engineering Good understanding of market connectivity, networking, and infrastructure (firewalls, multicast, latency considerations) Ability to analyse system performance across CPU, memory, network, and messaging layers Proficiency in scripting and automation (e.g. Python, Shell, PowerShell, SQL) Experience with CI/CD and deployment tools (e.g. Jenkins, Ansible, Artifactory) Familiarity with application stacks involving Java, C++, or .NET Strong stakeholder engagement skills with the ability to operate in a front office facing role Proven ability to manage incidents and deliver improvements in high pressure environments Experience with ION trading platforms or similar vendor systems Knowledge of multicast messaging and low latency trading architectures Monitoring tools such as Geneos or Zabbix Experience with Splunk or similar log analytics platforms

Join us to shape the future of electronic trading technology, where your expertise in C++ and hardware acceleration will make a global impact. You'll collaborate with talented engineers to deliver market-leading solutions that power high-speed trading across global markets. We value creativity, technical excellence, and a passion for continuous improvement. At JPMorganChase, you'll find opportunities for career growth, skill development, and meaningful contributions. Be part of a team that thrives on solving complex challenges and advancing industry standards. As an Ultra Low Latency C++ Lead Software Engineer at JPMorgan Chase in the Electronic Trading Technology team, you will design, build, and operate market gateway solutions with hardware FPGA acceleration. You will drive the software development lifecycle, focusing on stability, latency optimization, and continuous improvement. You'll partner with hardware engineering teams to integrate FPGA pipelines with our C++ software stack, ensuring high reliability and operational excellence. Your work will directly impact trading connectivity and risk management applications used by clients and internal businesses. You'll help foster a collaborative, innovative team culture. Job Responsibilities: Execute creative software solutions across design, development, and troubleshooting. Design, develop, and test reliable, high-quality C++ code for trading connectivity and risk controls on Unix/Linux platforms. Implement end-to-end low latency client setups, including production rollout and post-release validation. Automate remediation for recurring issues to improve operational stability. Establish and execute test strategies for latency, throughput, and resiliency. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Lead the development of market access trading and risk management modules. Participate across the software development lifecycle of electronic trading services. Collaborate with Application Development, Business Analysts, and Operations teams. Integrate FPGA pipelines with C++ software for deterministic performance. Required Qualifications, Capabilities, and Skills: Proficiency in modern C++ on Unix/Linux with strong multithreading and object-oriented design fundamentals. Hands on experience in system design, application development, testing, and operational stability in production environments. Scripting skills (Python, Perl, Shell) for automating development, testing, and operational tasks. Advanced understanding of Agile methodologies, including CI/CD, resiliency, and security. Ability to review and debug code written by others. Knowledge of low-level TCP/IP and network stack behavior. Comfort working closely with infrastructure and networking teams. Demonstrated experience leading effective use of approved AI assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. Bachelor's degree in Computer Science, Engineering, Mathematics, or related discipline. Excellent understanding of software hardware interaction. Preferred Qualifications, Capabilities, and Skills: Demonstrated experience in low latency design and development using C/C++, including DMA, exchange connectivity, and pre trade risk systems. Exposure to FPGA development for financial industry applications, including embedded software and kernel driver development for FPGAs and related systems. Proficiency with PCI Express, TCP/IP sockets, L1/L3 switches, and integrating C++, Verilog, and VHDL solutions in Linux environments. Experience implementing and certifying exchange connectivity using FIX, SBE, and native binary protocols, with a focus on low latency order entry, as well as creating and automating test strategies for functional and non functional requirements in production like environments.

We are seeking a highly skilled AI Engineer to join a leading investment management firm. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance trading strategies, portfolio optimization, risk management, and financial forecasting. You will work closely with quant researchers, data scientists, and software engineers to leverage AI for making data-driven investment decisions. Key Responsibilities Develop and optimize machine learning models for financial market predictions, portfolio management, and risk assessment. Build AI-powered analytics tools and data pipelines to process large-scale financial datasets. Research and implement cutting-edge deep learning, NLP, and reinforcement learning techniques for investment strategies. Work closely with quantitative researchers and traders to integrate AI models into trading and risk systems. Improve model performance through feature engineering, hyperparameter tuning, and model validation. Ensure AI models are explainable, robust, and aligned with regulatory requirements. Optimize execution speed and efficiency, leveraging distributed computing and cloud infrastructure where necessary. Required Qualifications Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Mathematics, or a related field. Strong programming skills in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience working with financial data and applying AI/ML models in an investment or trading context. Familiarity with time-series forecasting, NLP, reinforcement learning, and generative AI techniques. Proficiency in data engineering, big data processing (Spark, Dask, Kafka), and cloud computing (AWS, GCP, Azure). Strong understanding of statistical modeling, probability, and optimization techniques. Ability to collaborate with quant researchers, portfolio managers, and technology teams. Preferred Qualifications Experience working in a hedge fund, asset management, or proprietary trading firm. Knowledge of market microstructure, options pricing, and quantitative trading strategies. Familiarity with C++ or Rust for low-latency AI model execution. Prior experience in automated trading systems, alternative data, or AI-driven portfolio optimization. This is an exciting opportunity to work at the intersection of AI and finance, solving real-world problems with cutting-edge technology. If you thrive in a fast-paced, intellectually challenging environment, we'd love to hear from you.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production grade systems Hands on experience with AI applications, including LLM implementations, retrieval augmented generation, prompt optimization, and fine tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python based AI tools is preferred Excellent problem solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production grade software solutions that leverage cutting edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Design and implement AI driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval augmented generation, prompt optimization, fine tuning, and reinforcement learning Develop end to end pipelines for data ingestion, feature engineering, model inference (batch and real time), and integration of AI driven workflows into production systems Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high volume inference workloads Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models Lead the implementation of autonomous agents capable of multi step reasoning, decision making, and tool use in production environments Participate in design reviews, write high quality code, and contribute to documentation to ensure team wide efficiency and maintainability Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes About The Team Our Innovation team is responsible for building internal and external solutions leveraging cutting edge machine learning technology, including LLMs, AI Agents and NLP. The group is made up of a diverse set of professionals spanning a wide range of experience levels. We're organized into agile squads, each focused on building and scaling innovative AI driven products that enhance productivity and deliver measurable value. Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge sharing are encouraged, and where every team member has the opportunity to make a tangible impact. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

AI Software Engineer (13551) Skills and Competencies 3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams Education Bachelor's degree or higher in Computer Science, Software Engineering, or a related field. Responsibilities As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities. Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI. Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Role Overview Talan is seeking an experienced Application Support Engineer to join a high-performing global team supporting the eTrading environment for a leading investment banking client. Operating within a Production & Application Support function, this role sits at the heart of front-office trading technology, ensuring the stability, performance, and continuous improvement of critical electronic trading platforms. You will work in a complex, low-latency environment supporting high-volume trading flows, interacting closely with trading desks, development teams, and infrastructure specialists across a global follow-the-sun support model. Key Responsibilities Oversee day-to-day production support activities, including monitoring, incident management, and capacity planning Act as a key point of contact for issue resolution, liaising with traders, developers, infrastructure teams, and external vendors Take ownership of assigned applications and platforms, developing deep technical expertise Support and enhance electronic trading systems, including pricing engines, algorithmic trading components, and STP workflows Manage connectivity to external trading venues (e.g. exchanges, ECNs, market data providers) Contribute to system design improvements, focusing on resilience, scalability, and performance optimisation Coordinate release and change management activities, ensuring robust deployment processes Participate in a shift-based rota (7am-6pm coverage) and on-call support, including occasional weekend work Collaborate with global teams across Europe, North America, and Asia within a follow-the-sun support model Continuously improve documentation, monitoring, and operational processes Required Skills & Experience Strong experience in Application Support within electronic trading or capital markets environments Solid expertise across Linux and Windows server environments Experienced withinWintel Engineering Good understanding of market connectivity, networking, and infrastructure (firewalls, multicast, latency considerations) Ability to analyse system performance across CPU, memory, network, and messaging layers Proficiency in scripting and automation (e.g. Python, Shell, PowerShell, SQL) Experience with CI/CD and deployment tools (e.g. Jenkins, Ansible, Artifactory) Familiarity with application stacks involving Java, C++, or .NET Strong stakeholder engagement skills with the ability to operate in a front office facing role Proven ability to manage incidents and deliver improvements in high pressure environments Experience with ION trading platforms or similar vendor systems Knowledge of multicast messaging and low latency trading architectures Monitoring tools such as Geneos or Zabbix Experience with Splunk or similar log analytics platforms

C# Developer - Equity Derivatives Technology Risk (AVP) Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. What We do / The Team Equities Technology at Citi is undertaking a bold, multi year transformation to build a best in class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Key Skills and Experience required We are seeking a highly skilled engineer with broad technical capability along with specialist knowledge of .Net Framework and .Net 5+. You should have good understanding of algorithms, system design/architecture, design patterns, implementation and unit testing. A curious and flexible mindset is a must in this role, with qualities such as ownership, perseverance, detail oriented and tenacity. The ideal candidate will be dependable and resourceful, a software professional who can comfortably work in a large development team in a globally distributed, dynamic work environment that fosters diversity, teamwork and collaboration. Proven experience in a developer role with experience on large & complex projects. Technical / Functional Proficiency Strong C# knowledge in addition to exposure to both .Net Framework 4.5.2+ and .Net 5+ Understanding of .Net performance analysis and optimization approaches. Write comprehensive unit tests utilizing frameworks like NUnit, xUnit, Shouldly, or equivalents. Familiarity with web technologies OpenAI/Swagger, REST, Authentication, TLS Demonstrable experience or familiarity with high volume, low latency, highly available financial systems, trading platforms, or financial data processing. Broad technical experience with exposure to different languages such as Python, Java, Bash as well as operating systems such as Linux. Where candidate does not have deep exposure, they must show some basic knowledge and willingness to grow. Experience with version control & CI/CD tools such as Git & GitLab/GitHub Understanding of one or more messaging technology such as Kafka, RabbitMQ, Solace etc. Clear understanding of various design patterns and leveraging the same to solve complex technical problems. Conduct performance testing and profiling to ensure application robustness and scalability suited for high-volume financial data processing. Troubleshoot, diagnose, and resolve code issues and performance bottlenecks. Added core skills Proven ability in working with development team members and other partners, with minimal supervision. Strong verbal and written communication skills, excellent interpersonal skills with ability to communicate well at all levels. Team player, self starter and thorough who is willing to take on any assigned job/responsibilities. Ability to learn new skills quickly with little supervision and ensuring the detail is of high priority. Efficiently and effectively manages work, time, and resources. Ability to work under high pressure situations and effectively prioritize in a highly dynamic work environment that includes a global focus. Strong analytical and problem solving coupled with program execution skills. Ability to understand the big picture - can step back and understand the context of problems before applying analytical skills to address the issues. Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code. Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) Discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi and the EEO Policy Statement and the Know Your Rights poster.

Looking for a new opportunity? Join a global trading and investment firm that identifies opportunities across markets worldwide through a diversified approach spanning multiple asset classes, instruments, and time horizons. Driven by technology, research, and strong risk management, the organisation combines the entrepreneurial spirit of a start up with the stability of an established business. It offers a high performance environment built on continuous learning, deep curiosity, and close collaboration, where talented professionals work together to solve complex and rewarding challenges. Your next opportunity starts here-apply today. Responsibilities Lead the automation of network infrastructure and workflows Design and build robust CI/CD pipelines for network changes Standardise and modernise network architecture, inventory, and topology Create tools that eliminate manual work and enable self service across teams Own and evolve infrastructure across cloud, virtualised, and bare metal environments Required Skills/Qualifications Strong DevOps / NetDevOps / SRE background (5+ years) Passion for automation and building scalable systems Solid programming skills (Python or similar) Deep Linux and infrastructure expertise Hands on experience with CI/CD, Git, and infrastructure as code Benefits High ownership and real impact on critical systems Work at the intersection of networking, cloud, and automation Solve complex, low latency engineering challenge Salary Up to £150k

A diversified trading firm is seeking a DevOps specialist to improve automation within their low latency network group. Responsibilities include leading CI/CD pipeline implementation, supporting deployments, and automating infrastructure provisioning using tools such as Ansible and Python. Ideal candidates will have at least 3 years experience, strong Linux and networking skills, and a passion for new technology. The position is based in Greater London, offering an exciting opportunity to contribute to innovative trading technology.

Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Python Quant Data Engineer you will help build the technology for Systematic Equities Trading Business. The role would sit in the Equities Trading Data & Analytics technology team. As a Vice President Software Engineer at JPMorgan Chase within the agile technology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications. Job Responsibilities Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading. Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business. Design and build robust tools and frameworks to support quantitative research and production trading. Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores) Build and support research and trading analytics libraries (e.g. markouts, strategy analytics) Serve as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influence peers and project decision-makers to consider the use and application of leading-edge technologies Required Qualifications, Capabilities, And Skills Design and implementation of front-office systems for quant trading. Hands-on practical experience delivering system design, application development, testing, and operational stability Strong expertise in Python. Comfortable with scientific & dataset libraries such as pandas, numpy. Experience with KDB/Q Knowledge of data pipelines, market data processing and backtesting workflows. Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines Ability to tackle design and functionality problems independently with little to no oversight Proficiency in automation and continuous delivery methods In-depth knowledge of the financial services industry and their IT systems Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Knowledge of machine learning, statistical techniques and related libraries. Preferred Qualifications, Skills And Capabilities Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets Additional knowledge of Java / C++ is a strong plus. Practical cloud native experience is a plus. Practical cloud experience is a plus.