Python micro-services with RabbitMQ and OpenShift/Kubernetes, using SQL Server and Parquet. The London Commodities Risk Technology team builds a front-office distributed platform for trading and risk calculations on assets like oil, gas, power, and exotics, collaborating with traders and quants.

You’ll work with modern C++, Python, and systems-level knowledge of CPU, memory, OS, and networking. As part of a trading-desk Quant Dev team collaborating with researchers and traders, you’ll build ultra-low-latency trading engines, research platforms handling terabytes of daily data, and cloud-based analytics infrastructure for a global systematic hedge fund.

Java 11+, Spring Boot, microservices, event-driven architecture, Terraform, and cloud platforms (Azure, AWS, or GCP). The team builds post-trade technology solutions including business-critical applications, APIs, client reporting platforms, and web portals for capital markets. You will mentor developers and contribute to architectural decisions.

Work with Terraform, Ansible, Kubernetes, Python, Bash, Go, Jenkins, GitHub Actions, Prometheus, and Grafana to build infrastructure automation platforms supporting python-based quantitative research and trading systems. Manage on-premises resources across Ubuntu and Windows Server environments.

Builds cloud platforms for a systematic quant hedge fund's trading and research, using AWS (EC2, S3, VPC), Python/Bash, Jenkins/GitLab CI, Terraform/CloudFormation/AWS CDK, Docker, and Kubernetes to support digital asset and crypto systems.

You will work with Java 11+, Spring/Spring Boot, Microservices, TDD/BDD (JUnit, Spock, Mockito), Git, Maven, and CI/CD on a cloud platform (AWS, Azure, or GCP). The role involves building and evolving a post-trade technology platform — including in-house systems, APIs, and client portal — for a specialist post-trade clearing and prime brokerage firm. You will also manage and mentor a small team of Java developers.

Java, Spring Boot, microservices, cloud, TDD/BDD (JUnit, Spock, Mockito), and CI/CD tools (GitHub, Azure DevOps, Jenkins). You will build and evolve a post-trade clearing and prime brokerage platform, including in-house systems, APIs, and a client web portal. The role includes managing a small Java team and has an explicit pathway to Head of Engineering within 24 months.

Senior Java developer working with Java 11+, Spring Boot, microservices, cloud platforms (Azure/AWS/GCP), Terraform, CI/CD, and AI tools. The team builds post-trade technology solutions, APIs, client reporting platforms, and custom trading systems for capital markets.

Morgan Stanley★3.8 (5.4k)· London

Design, implement and support infrastructure automation for Morgan Stanley’s algorithmic trading business using Python, Go, Linux, Git, Jenkins, and test-driven development. This Lead Infrastructure Engineer (VP) role provides technical leadership and vision for a small team of engineers and SREs, driving continuous improvement through SRE techniques.

You will design, build, and manage the firm's critical reference data platforms—Security Master, Account Master, and Counterparty Master—using Python, Apache Airflow, and Snowflake on AWS. This hands-on role handles end-to-end data pipelines for trading, risk, compliance, and operations globally. You will also work with Git and CI/CD tooling to deliver robust, governed data products.

JPMorgan★3.9 (20k)· London

Lead DevOps Engineer working with AWS, Kubernetes, Terraform, Linux, Python/Perl, Java, CI/CD (Jenkins, Jules), and automation tools. The role supports latency Electronic Trading, Data Analytics, and Quant environments within JPMorgan’s Global Electronic Trading Group.

Citi★3.9 (21k)· London

You'll work with core Java, messaging technologies like Solace and Kafka, Chronicle/Aeron, and distributed caching to build high-performance, low-latency components for Citi's Fixed Income algorithmic trading platform in EMEA. The role involves collaborating with traders, quants, and product managers to enhance algo execution systems that directly impact the bank's internal market-making and trading capabilities. You'll use build tools like Gradle, Git, Jenkins, and manage Linux performance tuning for live trading systems.

Citi★3.9 (21k)· London

You'll develop and maintain high-performance Python microservices on a distributed platform using RabbitMQ for messaging and OpenShift/Kubernetes for deployment, working with SQL Server and Parquet data. The role supports Citi's Commodities trading business—a leading player in market-making across oil, gas, power, agriculture, metals, and other assets—focusing on a front-office risk platform undergoing re-engineering. You'll collaborate with traders, risk managers, and global technology teams to handle large-volume data processing and integrate analytics and market data components.

Citi★3.9 (21k)· London

You'll work primarily with Java (Core, Spring Framework, concurrent programming), distributed caching (Gemfire, Oracle Coherence, Redis), cloud technologies (Docker, Kubernetes), Oracle/MongoDB databases, and DevOps tools (Git, Jenkins, CI/CD pipelines). The Derivatives Credit Risk Technology Team builds counterparty credit risk management software that processes trades, collateral, and market data from 50+ sources to compute exposure metrics like PSE, EAD, and RWA for Citi's Risk organization. As a senior individual contributor, you'll lead applications analysis and programming while providing technical guidance to mid-level and junior developers.

Version 1★3.9 (39)· London

You'll work with Java, Spring/Spring Boot, JUnit, Hibernate, Apache Kafka, REST APIs, SQL, Docker, Kubernetes, and CI/CD tools like Jenkins to build high-quality software solutions for Version 1's clients across Financial Services and Capital Markets. The role involves developing maintainable, tested code in a cross-functional Scrum team while following SOLID principles and best practices, with potential front-end contributions and exposure to cloud platforms like AWS and Azure.

Citi★3.9 (21k)· London

You will develop and maintain Python and C++ counterparty credit risk applications for Citi's Analytical Calculation Engine, a firm-wide derivatives pricing and exposure calculation platform. The role involves optimizing performance, enhancing CI/CD pipelines using Git and Jenkins, writing comprehensive test suites, and collaborating with quant and front office teams to integrate pricing models. You'll serve as a senior technical advisor to junior developers while working within distributed computing architecture across Windows and Linux environments.

JPMorgan★3.9 (20k)· London

As Director of Software Engineering at JPMorganChase's Equities Trading Technologies, you'll oversee ultra-low-latency C++ trading systems for equity derivatives market making, setting the technology roadmap and making strategic technical decisions across regions. You'll lead the EMEA engineering team, guide engineers at all levels, and work with global counterparts in New York, Singapore, and Hong Kong to deliver cross-regional platform capabilities while engaging trading desks and quantitative researchers to translate requirements into scalable solutions.

Man Group★3.6 (14)· London

Man Group seeks a Senior Systems Engineer to build and maintain infrastructure automation frameworks supporting global trading and research operations, working with Terraform, Ansible, Kubernetes, Python, Bash, PowerShell, Prometheus, Grafana, Jenkins, and CI/CD tools across Ubuntu and Windows Server environments at scale. The Platform Engineering team supports quantitative research and trading systems managing tens of thousands of cores and hundreds of terabytes of memory, creating self-service platforms for hundreds of users across the organization.

Man Group★3.6 (14)· London

You'll work with Python, Java, C++, NumPy, SciPy, Pandas, scikit-learn, Airflow, Kafka, Docker, Kubernetes, and ArcticDB within Man AHL's systematic trading arm, building equity market neutral models and trading strategies alongside quant researchers. Man Group is a $228.7 billion alternative investment management firm managing strategies across public and private markets. You'll be part of a technology team of over sixty people organized into small cross-functional teams.