You will work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, and MongoDB. The team designs and delivers real-time, high-performance trading systems for Energy & Commodities, integrating market data, risk, and front-to-back office workflows.

You will work with Core Java, Aeron, FIX, SBE, Artio, Linux, and performance profiling tools. You will join a team developing a high-performance electronic trading platform with a focus on microsecond-level latency. The role requires 5+ years of Core Java experience and 2+ years in ultra-low-latency systems.

Develop low-latency server-side Java components for a global eTrading and eRisk platform serving FX and electronic execution. You’ll work with enterprise messaging (multicast, low-latency), FIX protocol, kdb+, and apply CI, TDD/BDD. The team builds distributed systems for pricing, order execution, and algorithmic trading.

You will work with Python, PowerShell, SQL, OMS/EMS platforms (FlexTrade, Triton, SpiderRock), Linux, Windows, cloud (AWS/Kubernetes), FIX, messaging systems, market data flows, and monitoring tools like Geneos/Zabbix. As part of a global hedge fund’s front-office technology team, you will directly support equity portfolio managers, traders, and analysts to ensure the reliability and performance of business-critical trading systems.

Luxoft★4.5 (669)· London

Lead Python engineer designs, builds, and maintains risk engineering systems for a global commodity trading company, working on commodities risk and market data pipelines. Uses Python, AWS/GCP/Azure, CI/CD, containerization, and AI-assisted tooling. Collaborates with quants, traders, and risk managers in a high-velocity delivery environment.

State Street★3.4 (3k)· London

Work with FIX, Web Services (SOAP), VBA/SQL, and AI technologies. The role sits within State Street's GlobalLink suite, which provides FX electronic trading platforms (FX Connect, Currenex) for execution, workflow automation, and post-trade processing. As an Integration Analyst (AVP), you implement FIX-based workflow solutions for buy and sell-side clients.

ExxonMobil★3.9 (5.7k)· London

Work as a Full Stack Developer using Python, Node.js, React or Angular, SQL/PostgreSQL/MongoDB, and cloud platforms like Azure/AWS/GCP. You will build and maintain scalable web applications, APIs, dashboards, databases, and data pipelines to support ExxonMobil's Global Trading organization's commercial and trading activities.

You will work with front-end technologies (HTML, CSS, JavaScript, React, Angular), back-end (Python, Node.js), databases (SQL, PostgreSQL, MongoDB), and cloud platforms (Azure, AWS, Google Cloud). You will design and maintain applications supporting commodity trading, market analysis, and risk management within ExxonMobil's Global Trading organization.

You will design and build a low-latency, high-throughput Smart Order Router and execution-algo suite in Java, with technologies including FIX, Aeron, Chronicle Queue, LMAX Disruptor, multicast feeds, and kernel bypass. The team is developing greenfield EMS and SOR execution algorithms (VWAP, TWAP, POV, liquidity seeking) for FX and digital-asset markets.

You will use server-side Java, enterprise messaging (multicast, low-latency), FIX, and kdb+ to build low-latency components for an electronic trading and risk platform. The team develops high‑performance distributed systems that manage liquidity, generate real‑time prices, handle order execution, and support algorithmic trading across global FX and electronic execution.

Adaptive Financial Consulting★5.0 (1)· London

You will work with Core Java, Java 17+, FIX protocol, and event-driven architecture in cloud-based environments. You will help design and deliver front-office trading technology solutions (OMS, EMS, exchange systems, matching engines) for capital markets clients.

Adaptive Financial Consulting★5.0 (1)· London

Java, Spring, Cucumber, JUnit, GitHub, FIX Protocol, and Aeron are key technologies. The role is within a financial consulting firm that designs and delivers front-office technology solutions for capital, commodity, and digital market participants. This is a contract position, outside IR35, in the Fintech sector.

ExxonMobil★3.9 (5.7k)· London

Full stack developer using React or Angular, Python or Node.js, SQL/PostgreSQL/MongoDB, and cloud platforms (Azure, AWS, Google Cloud). Builds and maintains web applications, APIs, and data pipelines supporting commodity trading, market analysis, and risk management within ExxonMobil’s Global Trading organization.

Senior C# .NET Developer working on high-performance applications for Global Markets IT. You will use C#, .NET, MS SQL, and DevOps/CI/CD tooling to build event-driven architectures supporting XVA, Liquidity and Financial Resource Management, collaborating with Front Office stakeholders.

You will work with Playwright, JavaScript, TypeScript, automation frameworks and CI/CD pipelines on a strategic front‑office derivatives trading platform, embedded within the bank’s Front Office Derivatives Technology team.

Work with Python, AWS, PostgreSQL, Redshift/Snowflake, S3, and React to build backend services and APIs. You will join the Optimisation CoreTech Strats team to develop data pipelines and systems for financial institutions to submit risk and trade data for large-scale optimisation runs. This is a mid-level engineering role.

LSEG★3.7 (402)· London

Build and enhance systems for large-scale financial optimisation runs using Python, AWS, PostgreSQL (RDS), Redshift/Snowflake, S3, and React. You will integrate financial data into optimisation algorithms and develop APIs and backend services alongside the Quantile CoreTech Strats team at LSEG.

Grid Dynamics★3.4 (19)· London

Build high-performance React and TypeScript trading applications using WebSockets, RSocket, and streaming market data. Work within an embedded team modernising a Tier 1 investment bank’s electronic trading platforms, migrating legacy Angular apps to React. Collaborate with backend Java engineers on mission-critical front-office systems.

You will work with C++, Rust, or Python to build a cloud-native EMS/OMS platform for commodities trading, using Kubernetes and Kafka-style messaging. The small engineering team designs and delivers a trading platform integrated with risk, pricing, and market data systems.

TP ICAP★3.1 (34)· London

You will work with React, TypeScript, C#, .NET, Java, SQL, GitLab, CI/CD, and AWS. As part of the Equities technology team, you will contribute to front-end and back-end software for internal broking users and external customers.

Build UI components using React.js, TypeScript, JavaScript, HTML5, CSS3/SASS, and state management tools. You will join the Global Markets Technology team at a leading investment bank, designing responsive, data-driven interfaces for trading, risk, and analytics platforms.

Back-End Engineer works with Kotlin, Python, REST APIs, WebSockets, and SQL to build backend services for Blockchain's Cryptocurrency Trading Platform, including order management, market data processing, and trade lifecycle.

Work with React (or similar JavaScript frameworks), Python, Go, or Java, building APIs with REST, gRPC, NATS, AMPS, or Kafka, and handling data/storage layers. You will own end-to-end features for the firm’s proprietary trading and risk platforms, supporting real-time pricing, risk management, and execution across global commodities markets.

Backend Java Developer role requiring expertise in Java NIO, FIX protocol, and low-latency programming with Spring Boot and microservices. The developer will work with messaging services like Kafka or JMS, Oracle/SQL databases, Unix/Linux, and CI/CD tools in an agile environment. Financial services domain experience is preferred for this 12-month FTE position based in Belfast.

Visa★3.9 (1.2k)· London

You'll build and maintain mission-critical foreign exchange trading services—pricing engines, risk management systems, and market data providers—for Currencycloud's API that has processed over 50 billion USD in cross-border transactions. The FX Routing and Aggregation team uses Java 11+, Spring Boot, AWS, Kubernetes, Kafka, and SQL databases to power real-time, high-throughput FX trading microservices handling billions in transactions, with mentoring responsibilities for junior engineers.