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Senior Lead Software Engineer - Equities Algo Trading - Java - VP Location: London, United Kingdom Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase within the Equities Trading Technology Organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. The JPM Electronic Client Services (ECS) desk has established itself as an integral part of the franchise with continued business and market share growth (currently the top provider in EMEA for agency flow execution). As such you will be entering an environment where your colleagues share a market-leading mentality and constantly innovate and strive for excellence. Our product is global, so you will work closely with colleagues across the globe, who will appreciate and build on your skills, while also sharing their extensive experience to help you evolve. The successful candidate will be part of the equities algo development team and work with quants, traders, and technologists to develop, implement, support and maintain a market leading algo execution platform trading global markets. Work deliverables directly contribute to the business and this role participates in all aspects of the trading engine. You will work directly with all stakeholders in our business. Subject to skills match and interest, your work can span across engine infrastructure, quantitative models, introduction/use of trading signals, and trade analysis for fine-tuning and overall improvement of strategy behavior. Job Responsibilities Design and develop algo trading strategies and execution platform Design and develop our simulation environment and maintain our automated testing of strategies and their responses to staged market conditions Enhance existing strategies to improve performance by reviewing analytics and evolving our models/signals Support the desk by deep-diving into specific cases to interpret strategy behavior and address any issues Develop scalable real-time processing solutions using agile methodologies Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient advanced experience in Java Proficiency in low latency, real-time, scalable trading systems Experience in building/dealing with high throughput messaging APIs, middleware products Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing towards the development of the global platform Experience with algorithmic trading, including systematic trading Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills Experience with FIX, Market Data, Analytics and OMS Market microstructure knowledge Equities, FX, options, derivatives asset class knowledge Jupyter/Pandas, KDB+/Q, Python, shell scripting Equal Opportunity Statement J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. For more information about requesting an accommodation, please visit our FAQs.

About G-20 Group G-20 Group is a leading cross-asset trading firm active in delta-one and derivatives markets. Established in 2010, G-20 offers liquidity solutions, treasury management, and institutional advisory services. We are supported by an outstanding team of professionals, with a robust global presence in EMEA, Americas, and APAC. Role Overview We are seeking a highly skilled and motivated Core C++ Developer to join our London team to further develop and maintain the proprietary, in-house trading engine. We are seeking a candidate with a strong background in building large-scale low-latency systems. The role involves maintaining daily trading operations as well as developing scalable, high-performance code, optimizing system architecture and modularity to ensure seamless operations and functionality. The ideal candidate will be self-driven, motivated, responsible and highly responsive, working independently to develop and improve the existing code base, while collaborating closely with diverse cross-functional teams of stakeholders and fellow developers. We are looking for someone with strong expertise in C++ programming, debugging, and system optimization, who is passionate about delivering practical, high-quality, PnL-focused solutions. The primary focus for this role will be working on core engine components, including trading engines, pricing, market making strategies and underlying trading infrastructure. Key Responsibilities Trading Engine Development: Develop the existing and new components within the trading engine while maintaining overall system design. Ownership of Engine Components: Grow into ownership of existing or newly developed trading engine components, such as pricing, market making, hedging, etc. Performance Optimization: Continuously monitor and optimize trading engine performance. Systems Refactorization: Work on appropriate code modularization, versioning, deployment and test processes. Trading Infrastructure Development: Develop, improve and maintain overall trading infrastructure, including reference and market data, trades and balance dissemination services. Trading Engine Operations: Ensure that day to day trading operations run smoothly. Collaboration with Trading: Work directly with the trading team to understand their needs and deliver appropriate solutions that support the firm's strategic goals. Education Bachelor's or Master's degree in computer sciences, Computer Science, Engineering, or a related field. Experience At least 3+ years or more of experience in software development, ideally in a high paced trading environment. Personal Qualities Self-driven, motivated, responsible and highly responsive individual. Mature enough to work collaboratively on the existing code base. Ability to work effectively in a fast paced trading environment. Strong and tactful communication skills, both verbal and written. Tech Skills Proficiency in C++ (Cxx-17). Familiarity with Rust is a significant bonus, Python desired. Proficiency in Unix based systems. Experience of cloud-based platforms (AWS). Experience with real time data messaging (websockets, Redis). Experience with CI/CD tools, Jenkins, Supervisor and docker. Fast problem solving skills, combined with attention to details. Preferred / Desirable Experience Familiarity with low latency and high throughput systems. Experience in the finance or cryptocurrency sectors. Experience with high paced production or trading environments. Location andRighttowork This role will be based in our London office. Only candidates who reside in the UK and possess the pre-existing right to work in the UK without needing company sponsorship need to apply.

Location: London (Office) On-Site Full-time Compensation: $250K - $300K We are hiring on behalf of our client who is a high-growth development firm behind a market-leading digital asset launchpad. Operating at a massive scale with over $750M in daily trading volume and nearly $1B in revenue generated over the last two years, the organization maintains a lean, high-impact team of fewer than 100 people. The environment is fast-paced, data-driven, and maintains a high bar for engineering excellence. Decisions are made through experimentation, bureaucracy is kept to a minimum, and engineers are granted end-to-end ownership of their platforms. Our client is seeking a Senior Payments Platforms Engineer to own and scale the infrastructure backbone powering critical fiat-to-crypto payment flows. This is a senior technical contributor role designed for an expert who builds cloud-native platforms and defines engineering standards to enable high-velocity product teams. The successful candidate will bring deep experience from a neobank, payment service provider (PSP), or tier-1 financial institution. This individual will be responsible for ensuring that cloud infrastructure remains reliable, scalable, and compliant under real-world financial constraints and rigorous regulatory expectations. Key Responsibilities Infrastructure Architecture: Design and operate multi-region, highly available AWS-based payments infrastructure with financial-grade resilience (active-active/active-passive failover and RTO/RPO commitments). Infrastructure as Code (IaC): Manage the full lifecycle of AWS resources (VPC, EKS/ECS, RDS/Aurora, SQS/SNS, API Gateway) using Terraform, Pulumi, or CDK. Network Security: Design and enforce network architecture for regulated environments, including private subnets, PrivateLink integrations for third-party providers (e.g., Plaid, Stripe), and WAF/Shield Advanced configurations. CI/CD & Deployment: Build and maintain pipelines supporting high-frequency production deployments, including blue/green releases, automated rollbacks, and SLO-gated deployment controls. Security & Compliance: Define secrets management strategies (KMS, HSM integration) and design infrastructure controls to satisfy PCI DSS, SOC 2, and regulatory (FCA) audit requirements. Observability: Own the monitoring stack (OpenTelemetry, CloudWatch, OpenSearch) to surface payment failures, latency spikes, and compliance anomalies. Data Platform Management: Manage RDS Aurora PostgreSQL and event streaming (MSK/Kafka) for high-stakes transactional and reconciliation workloads. Reliability & Disaster Recovery: Build automated runbooks, chaos engineering experiments, and load-test harnesses. Maintain and test multi-region disaster recovery scenarios. Mentorship & Cost Engineering: Drive platform cost efficiency and mentor backend engineers on containerization and 12-factor app best practices. Requirements Deep AWS Expertise: Extensive production experience across core compute, networking, storage, and security services. Financial Services Background: Proven track record at a neobank (e.g., Monzo, Revolut), PSP (e.g., Stripe, Adyen, ), or a major bank's infrastructure division. IaC & Containers: Mastery of Terraform at scale and strong experience with Kubernetes (EKS) or ECS operations. Database & Messaging: Experience running RDS/Aurora PostgreSQL for transactional workloads and operating Kafka (MSK) or Kinesis for financial event pipelines. Compliance Literacy: Familiarity with the infrastructure obligations of PCI DSS, SOC 2, or FCA/PRA regulated environments. Operational Maturity: Experience in 24/7 on-call rotations for financial systems with a focus on incident response and post-mortems. Preferred Qualifications: Experience with Solana or EVM blockchain infrastructure, policy-as-code (OPA), or FinOps certifications. Proficiency in Rust, Python, or Go for tooling is a significant plus. Benefits Compensation: $250K - $300K High Impact: Direct ownership of systems reaching hundreds of thousands of users with immediate production impact. Location: This is an in-person role based in London. Environment: A high-intensity, low-bureaucracy culture where performance is rewarded with significant autonomy. Interview Process Recruiter / HR Screening Call Founder / CEO Interview Technical Interview I Technical Interview II Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

About G-20 Group G-20 Group is a leading cross-asset trading firm active in delta-one and derivatives markets. Established in 2010, G-20 offers liquidity solutions, treasury management, and institutional advisory services. We are supported by an outstanding team of professionals, with a robust global presence in EMEA, Americas, and APAC. Role Overview We are seeking a highly skilled and motivated Core C++ Developer to join our London team to further develop and maintain the proprietary, in-house trading engine. We are seeking a candidate with a strong background in building large-scale low-latency systems. The role involves maintaining daily trading operations as well as developing scalable, high-performance code, optimizing system architecture and modularity to ensure seamless operations and functionality. The ideal candidate will be self-driven, motivated, responsible and highly responsive, working independently to develop and improve the existing code base, while collaborating closely with diverse cross-functional teams of stakeholders and fellow developers. We are looking for someone with strong expertise in python programming, debugging, and system optimization, who is passionate about delivering practical, high-quality, PnL-focused solutions. The primary focus for this role will be working on core engine components, including trading engines, pricing, market making strategies and underlying trading infrastructure. Key Responsibilities Trading Engine Development: Develop the existing and new components within the trading engine while maintaining overall system design. Ownership of Engine Components: Grow into ownership of existing or newly developed trading engine components, such as pricing, market making, hedging, etc. Performance Optimization: Continuously monitor and optimize trading engine performance. Systems Refactorization: Work on appropriate code modularization, versioning, deployment and test processes. Trading Infrastructure Development: Develop, improve and maintain overall trading infrastructure, including reference and market data, trades and balance dissemination services. Trading Engine Operations: Ensure that day to day trading operations run smoothly. Collaboration with Trading: Work directly with the trading team to understand their needs and deliver appropriate solutions that support the firm's strategic goals. Education Bachelor's or Master's degree in computer sciences, Computer Science, Engineering, or a related field. Experience At least 7 years or more of experience in software development, ideally in a high paced trading environment. Personal Qualities Self-driven, motivated, responsible and highly responsive individual. Mature enough to work collaboratively on the existing code base. Ability to work effectively in a fast paced trading environment. Strong and tactful communication skills, both verbal and written. Tech Skills Proficiency in C++ (Cxx 17). Familiarity with Rust is a significant bonus, Python desired. Proficiency in Unix based systems. Experience of cloud-based platforms (AWS). Experience with real time data messaging (websockets, Redis). Experience with CI/CD tools, Jenkins, Supervisor and docker. Fast problem solving skills, combined with attention to details. Preferred / Desirable Experience Familiarity with low latency and high throughput systems. Experience in the finance or cryptocurrency sectors. Experience with high paced production or trading environments. Location and Right to work This role will be based in our London office. Only candidates who possess the pre existing right to work in the UK without needing company sponsorship need apply. Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

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.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Back-End Engineer, you will design, develop, and maintain robust server-side applications and APIs that support high-volume, data-intensive environments. You will play a key role in shaping technical architecture, ensuring system reliability, and driving best practices in software engineering. This position requires strong problem-solving skills, deep technical expertise, and the ability to collaborate effectively with cross-functional teams. Role Responsibilities Working as a hands on engineer, working closely with Architects, Principal Engineers, and Trading SMEs to design, build, review, test, and deliver mission critical, high performance systems end to end. Contribute to engineering deliverables throughout the full lifecycle, ensuring performance, scalability, resilience, and alignment with engineering best practices. Drive innovation through POCs, technical evaluations, and continuous improvement initiatives. Communicate progress proactively, highlighting risks and removing delivery impediments. Experience / Competences Essential Hands-on experience building and supporting latency sensitive front office trading systems (OMS, Matching, Execution). Strong background in designing and maintaining distributed, event driven, cloud native applications. Strong understanding of low latency engineering, concurrency, multithreading, and performance optimisation. Comprehensive SDLC experience across design, development, QA, deployment, and production support. Ability to balance rapid delivery with architectural rigour and long term maintainability. Strong relational database design and optimisation skills (MSSQL, MySQL). Proven problem solving capabilities and ability to validate ideas through POCs. Experience building automated testing frameworks for complex distributed systems. Ability to engage effectively with traders, quants, and other business stakeholders.Desired Domain experience in Credit or Fixed Income. Expertise in modern .NET technologies and C# (Java or similar OO languages considered). Experience implementing observability (metrics, tracing, logging) for distributed systems. Experience with CI/CD pipelines, containerisation (Docker), and orchestration (Kubernetes/EKS). Knowledge of distributed messaging and caching technologies (e.g., Solace, Redis, or similar). Understanding of FIX protocol and FIX message handling. Hands-on experience with AWS, microservices, and serverless patterns. Familiarity with React and DAPR (nice to have). Understanding of TDD, BDD, or similar testing methodologies. Role Band & Level: Professional , 5 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 Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.

Lead eSoftware Engineer - C++ LONDON, LONDON, United Kingdom Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead eSoftware Engineer at JPMorgan Chase within the Electronic Trading Technology group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for building critical technology solutions across multiple technical areas in support of the firm's business objectives. The Electronic Trading Technology (ETT) group is a dynamic team responsible for a suite of applications that execute electronic trading strategies, with a global presence spanning North America, Europe and Asia. The group's responsibilities include the design, implementation and support of various low latency electronic trading systems with focus on next generation Smart Order Router, Matching Engine, Market Access, and Risk Management. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high quality production code, review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Collaborate with cross functional teams to understand business needs and translate them into technical requirements. Lead communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies Act as a front office developer interacting closely with the desk Work on a wide range of deliverables, from frameworks and infrastructure to trading engines and algos Participate in all aspects of the software development cycle, from requirement gathering and design documents to implementation, integration and testing Stay abreast of industry trends, emerging technologies, and regulatory changes to ensure our trading platforms remain competitive and compliant. Identify opportunities for innovation and improvement within the e trading systems Required Qualifications, Capabilities, and Skills Formal training or certification on C+ onwards concepts and proficient advanced experience Expertise in multi threaded and concurrent programming Experience in TCP/IP network programming and familiarity with LBM/UME Proven experience in ultra low latency application developmentProficiency in Linux/Unix, with an understanding of OS and kernel architecture Advanced knowledge of system architecture, design, and business processes Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals Familiarity with modern Continuous Integration development practices including all phases of the SDLC. Lead and follow Agile Methodologies and Principles Preferred Qualifications, Capabilities, and Skills Knowledge of Multi Asset Electronic Trading and Equities, Futures, and Options Exchange Connectivity experience is desirable Experience with kernel tuning and low level system programming Experience with Python, Git We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

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.

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.Founded in London in 1866, the Group operates from more than 60 offices in 27 countries. We are 5,200 people strong. We work as one to achieve our vision of being the world's most trusted, innovative, liquidity and data solutions specialist. Role Overview As a Senior Back-End Engineer, you will design, develop, and maintain robust server-side applications and APIs that support high-volume, data-intensive environments. You will play a key role in shaping technical architecture, ensuring system reliability, and driving best practices in software engineering. This position requires strong problem-solving skills, deep technical expertise, and the ability to collaborate effectively with cross-functional teams. Role Responsibilities Lead by example as a hands on engineer , working closely with Architects, Principal Engineers, and Trading SMEs to design, build, review, test, and deliver mission critical, high performance systems end to end. Own engineering deliverables throughout the full lifecycle, ensuring performance, scalability, resilience, and alignment with engineering best practices. Mentor engineers, elevate code quality standards, and foster a culture of technical excellence. Drive innovation through POCs, technical evaluations, and continuous improvement initiatives. Communicate progress proactively, highlighting risks and removing delivery impediments. Experience / Competences Essential Significant years of hands-on experience building and supporting latency sensitive front office trading systems (OMS, Matching, Execution). Strong background in designing and maintaining distributed, event driven, cloud native applications. Deep understanding of low latency engineering, concurrency, multithreading, and performance optimisation. Comprehensive SDLC experience across design, development, QA, deployment, and production support. Ability to balance rapid delivery with architectural rigour and long term maintainability. Strong relational database design and optimisation skills (MSSQL, MySQL). Proven problem solving capabilities and ability to validate ideas through POCs. Experience building automated testing frameworks for complex distributed systems. Ability to engage effectively with traders, quants, and other business stakeholders.Desired Domain experience in Credit or Fixed Income. Expertise in modern .NET technologies and C# (Java or similar OO languages considered). Experience implementing observability (metrics, tracing, logging) for distributed systems. Experience with CI/CD pipelines, containerisation (Docker), and orchestration (Kubernetes/EKS). Experience designing APIs (REST, GraphQL). Knowledge of distributed messaging and caching technologies (e.g., Solace, Redis, or similar). Understanding of FIX protocol and FIX message handling. Hands-on experience with AWS, microservices, and serverless patterns. Familiarity with React and DAPR (nice to have). Understanding of TDD, BDD, or similar testing methodologies. Role Band & Level: Manager, 6 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 Connecting clients, communities and colleagues for sustainable growth TP ICAP connects people, platforms, ideas, and insight across the world's financial, energy and commodities markets. As a global leader in market infrastructure and data-led solutions, we enhance market access, increase efficiencies, and unlock possibilities. Work with us Joining TP ICAP puts you at the heart of markets that matter.You'll have the freedom to innovate and act on your initiative. We'll train you and build your abilities in your specialist area, so that you can become an expert in your field. And all within a connected network that's there to set you up for success.TP ICAP Group is a collection of premium brands each with a distinct, client-focused offering. Underpinning and connecting these client-facing brands is the financial security, operational strength and know-how we have as a Group.Connections are at the heart of what we do. We combine our people's know-how with the latest technology to improve price discovery, trade execution and liquidity flow.Connections create strength. Through them, we help our clients to manage risk, realise investment strategies and expand the scope for growth.And connections act as a catalyst. Sparking richer solutions for our clients to break new ground, modernising markets for future performance, and creating dynamic careers for our people. Our capacity to connect builds trust, supports communities and gives us the power to anticipate and respond to change, whatever direction the world takes. It's what makes TP ICAP a mainstay in the global markets, now and in the future.TP ICAP. We connect.

Location: London (Office) On-Site Full-time Compensation: $250K - $300K We are hiring on behalf of our client who is a high-growth development firm behind a market-leading digital asset launchpad. Operating at a massive scale with over $750M in daily trading volume and nearly $1B in revenue generated over the last two years, the organization maintains a lean, high-impact team of fewer than 100 people. The environment is fast-paced, data-driven, and maintains a high bar for engineering excellence. Decisions are made through experimentation, bureaucracy is kept to a minimum, and engineers are granted end-to-end ownership of their platforms. Our client is seeking a Senior Payments Platforms Engineer to own and scale the infrastructure backbone powering critical fiat-to-crypto payment flows. This is a senior technical contributor role designed for an expert who builds cloud-native platforms and defines engineering standards to enable high-velocity product teams. The successful candidate will bring deep experience from a neobank, payment service provider (PSP), or tier-1 financial institution. This individual will be responsible for ensuring that cloud infrastructure remains reliable, scalable, and compliant under real-world financial constraints and rigorous regulatory expectations. Key Responsibilities Infrastructure Architecture: Design and operate multi-region, highly available AWS-based payments infrastructure with financial-grade resilience (active-active/active-passive failover and RTO/RPO commitments). Infrastructure as Code (IaC): Manage the full lifecycle of AWS resources (VPC, EKS/ECS, RDS/Aurora, SQS/SNS, API Gateway) using Terraform, Pulumi, or CDK. Network Security: Design and enforce network architecture for regulated environments, including private subnets, PrivateLink integrations for third-party providers (e.g., Plaid, Stripe), and WAF/Shield Advanced configurations. CI/CD & Deployment: Build and maintain pipelines supporting high-frequency production deployments, including blue/green releases, automated rollbacks, and SLO-gated deployment controls. Security & Compliance: Define secrets management strategies (KMS, HSM integration) and design infrastructure controls to satisfy PCI DSS, SOC 2, and regulatory (FCA) audit requirements. Observability: Own the monitoring stack (OpenTelemetry, CloudWatch, OpenSearch) to surface payment failures, latency spikes, and compliance anomalies. Data Platform Management: Manage RDS Aurora PostgreSQL and event streaming (MSK/Kafka) for high-stakes transactional and reconciliation workloads. Reliability & Disaster Recovery: Build automated runbooks, chaos engineering experiments, and load-test harnesses. Maintain and test multi-region disaster recovery scenarios. Mentorship & Cost Engineering: Drive platform cost efficiency and mentor backend engineers on containerization and 12-factor app best practices. Requirements Deep AWS Expertise: Extensive production experience across core compute, networking, storage, and security services. Financial Services Background: Proven track record at a neobank (e.g., Monzo, Revolut), PSP (e.g., Stripe, Adyen, ), or a major bank's infrastructure division. IaC & Containers: Mastery of Terraform at scale and strong experience with Kubernetes (EKS) or ECS operations. Database & Messaging: Experience running RDS/Aurora PostgreSQL for transactional workloads and operating Kafka (MSK) or Kinesis for financial event pipelines. Compliance Literacy: Familiarity with the infrastructure obligations of PCI DSS, SOC 2, or FCA/PRA regulated environments. Operational Maturity: Experience in 24/7 on-call rotations for financial systems with a focus on incident response and post-mortems. Preferred Qualifications: Experience with Solana or EVM blockchain infrastructure, policy-as-code (OPA), or FinOps certifications. Proficiency in Rust, Python, or Go for tooling is a significant plus. Benefits Compensation: $250K - $300K High Impact: Direct ownership of systems reaching hundreds of thousands of users with immediate production impact. Location: This is an in-person role based in London. Environment: A high-intensity, low-bureaucracy culture where performance is rewarded with significant autonomy. Interview Process Recruiter / HR Screening Call Founder / CEO Interview Technical Interview I Technical Interview II Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Senior Software Engineer £950/day Outside IR35 6-months initial contract London Industry: Trading Location: London - 4 days in office Job Type: Contract - 6-month initial Our client is building the next generation of execution and order management (EMS/OMS) infrastructure for global commodities trading. You will join a small, fast moving engineering team designing and delivering a cloud native trading platform from the ground up, tightly integrated with risk, pricing, and market data systems to support high performance trading environments. This is a senior, hands on role for an engineer who wants end to end ownership - from low level protocol integration through to distributed execution services and trader facing tooling. What You'll Be Doing Design and build core components of a modern EMS/OMS platform, including order routing, order lifecycle management, venue connectivity, and execution analytics. Implement and maintain FIX protocol and venue specific integrations across exchanges, brokers, and liquidity providers in commodities markets. Develop low latency, distributed execution services with a strong focus on correctness, resilience, and performance under load. Collaborate closely with traders, quants, and risk engineers to translate trading workflows and execution strategies into robust production systems. Ensure seamless integration with risk systems, including pre trade checks, position tracking, and post trade processing. Requirements Essential Proven experience building execution systems and/or order management systems in production. Strong systems engineering fundamentals, including concurrency, distributed systems, networking, performance, and correctness under pressure. Production experience in at least one of C++, Rust, or Python, with willingness to work across multiple languages. Demonstrated ability to deliver production systems with a strong bias towards shipping, iteration, and user feedback. Comfortable working in a collaborative environment with direct engagement between engineers, traders, and quants. Experience working in cloud native environments, particularly Kubernetes based architectures. Familiarity with distributed data and event driven systems (e.g. Kafka style messaging patterns). Experience with observability, monitoring, testing, and production incident response in live systems. Highly Desirable Experience in commodities markets (energy, metals, agriculture, freight) or other complex, multi venue asset classes. Deep understanding of the FIX protocol, including session handling, message customisation, and venue specific behaviour. Experience with algorithmic trading systems, smart order routing, or execution algorithm development. Exposure to real time risk systems, including pre trade controls and position/PnL infrastructure. Experience with columnar databases such as ClickHouse.

Rust Engineer About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high frequency trading, OTC, and DeFi trading desks. But we're more than a service provider. We're an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We are seeking a Rust Engineer with trading experience and AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and demonstrable experience engineering mission critical trading systems are at a significant advantage but we welcome applications from other backgrounds too. As part of the engineering team in Capital Markets, you will drive continuous improvement in trading infrastructure and system performance. You will join a highly profitable, fast paced division within Keyrock, where you will be able to make a big impact while collaborating in a global, fully remote team. This role is open to candidates located in European time zones. Job description Develop and optimise low latency, mission critical trading systems Collaborate with quants, traders, and engineers to enhance trading strategies Maintain and improve trading infrastructure, ensuring high performance and stability Design and implement efficient, scalable, and resilient trading solutions Troubleshoot and enhance exchange connectivity and execution speed Support functional and component testing for critical trading components Background and experience Technical Skills Strong experience in Rust (proficiency with Tokio framework is a bonus) Prior experience in a trading environment (HFT, Market Making, Prop Trading, or similar) Knowledge of AWS, Linux systems, shell scripting, and troubleshooting Experience with Python and/or scripting languages for trading strategy development Familiarity with trading systems, FIX / REST / WebSocket APIs, and market data feeds Understanding of networking fundamentals (latency, TCP / UDP, packet analysis) Proficiency in cloud and containerised environments (EKS, Kubernetes, Docker)

Nerdleveltech is hiring a Rust Engineer to join its Capital Markets division in the United Kingdom. Ideal candidates will have experience in low-latency trading systems and a passion for the Rust ecosystem. You'll work within a global, fully-remote team, enhancing trading solutions and infrastructure. This role emphasizes collaboration with quants and traders, maintaining system performance and stability. Experience in trading environments and knowledge of AWS is vital for success in this position.

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.

Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead eSoftware Engineer at JPMorgan Chase within the Electronic Trading Technology group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market leading products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for building critical technology solutions across multiple technical areas in support of the firm's business objectives. The Electronic Trading Technology (ETT) group is a dynamic team responsible for a suite of applications that execute electronic trading strategies, with a global presence spanning North America, Europe and Asia. The group's responsibilities include the design, implementation and support of various low latency electronic trading systems with focus on next generation Smart Order Router, Matching Engine, Market Access, and Risk Management. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high quality production code, review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Collaborate with cross functional teams to understand business needs and translate them into technical requirements Lead communities of practice across Software Engineering to drive awareness and use of new and leading edge technologies Act as a front office developer interacting closely with the desk Work on a wide range of deliverables, from frameworks and infrastructure to trading engines and algos Participate in all aspects of the software development cycle, from requirement gathering and design documents to implementation, integration and testing Stay abreast of industry trends, emerging technologies, and regulatory changes to ensure our trading platforms remain competitive and compliant Identify opportunities for innovation and improvement within the e trading systems Required Qualifications, Capabilities, and Skills Formal training or certification on C+ onwards concepts and proficient advanced experience Expertise in multi threaded and concurrent programming Experience in TCP/IP network programming and familiarity with LBM/UME Proven experience in ultra low latency application development Proficiency in Linux/Unix, with an understanding of OS and kernel architecture Advanced knowledge of system architecture, design, and business processes Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals Familiarity with modern Continuous Integration development practices including all phases of the SDLC. Lead and follow Agile Methodologies and Principles Preferred Qualifications, Capabilities, and Skills Knowledge of Multi Asset Electronic Trading and Equities, Futures, and Options Exchange Connectivity experience is desirable Experience with kernel tuning and low level system programming Experience with Python, Git Equal Employment Opportunity Statement We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Network Engineer (Financial services/Electronic trading) General information Country United Kingdom City London Type of role Professional Working time Full-time Type of contract Permanent Remaining openings 1 Description & Requirements For our Innovation & Technology department in London we are looking to hire a: Innovation & In an era where digitalisation and modern IT infrastructure is revolutionizing banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the team. As a Senior Network you will be contributing to the design, implementation, and maintenance of a highly availa-ble, secure, and scalable enterprise network infrastructure critical to trading and core operations. This position requires deep, practical expertise in Layer 3 routing and BGP on Arista platforms and Fortinet security devices. The successful candidate will play a critical role in translating architectural designs into operational reality, collaborating closely with the Lead Network Architect, and driving operational excellence while adhering to strict financial compliance and security standards. What will you do: Architectural Collaboration: Work directly with the Lead Network Architect to review High-Level Designs, provide technical feasibility assessments, and translate the architecture into detailed Low-Level Designs (LLDs) and implementation plans (e.g. using NetBrain) Lead the deployment and configuration of core network infrastructure projects focused on scalability and high availability, e.g. new exchange / trading venue connectivity via datacentre cross-connects Administer and maintain the enterprise security posture using Fortinet devices, ensuring policy en-forcement aligns with security principles like PoLP. Provide 3rd-line escalation support for all critical network incidents. Develop and enforce network standards, policies, and operational procedures, ensuring adherence to internal risk controls and external regulatory requirements. Onboard and setup new connectivity with new trading partners and venues Who are we looking for? Deep Expertise in BGP: Proven, hands-on experience designing, implementing, and troubleshooting complex Border Gateway Protocol (BGP) topologies, including route manipulation, path selection, multi-homing, and peering, VRF etc. Network Architecture: Demonstrated ability to design and implement highly resilient and scalable Layer 3 network architectures, including spine-and-leaf topologies, with a focus on low-latency and high-throughput environments (e.g., trading platforms) Arista Networks: Hands-on experience with configuration, operation, and advanced troubleshooting of Arista switches and routers, including experience with Arista EOS Principle of Least Privilege (Security Concept) & Zero Trust: Strong foundational knowledge and practi-cal experience in applying the Principle of Least Privilege (PoLP) & Zero Trust to network device access, network segmentation, and firewall rule creation to minimize the network attack surface in a regulated financial environment Complex Troubleshooting: Ability to conduct deep-dive, packet-level analysis and root cause analysis (RCA) on complex, multi-protocol network issues across LAN, WAN, and Data Centre environments Nice to have: Practical experience using Infrastructure as Code tools such as Terraform or Ansible for network configuration management, provisioning, and automated deployments Scripting: Proficiency in scripting languages, preferably Python, for network automation, API interaction, data manipulation, and custom tooling development What we offer you: Private pension plan - 10% of base salary contribution by Berenberg Private Health Insurance Enhanced parental leave policies Employee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topics Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create an inclusive working environment, where everyone can realise their full potential. We're committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. Please contact us directly on to discuss.

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 Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands-on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production-grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade-offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake-offs, and making evidence-based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade-offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to-end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI-powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias-mitigation controls, and participate in required reviews, sign-offs, and documentation. Run structured evaluations and bake-offs of models, tools, and frameworks, and provide evidence-based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high-impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long-term success for the business. 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.

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 Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. 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.