Goldman Sachs★3.9 (2.3k)· London

Build a high-performance, low-latency data platform for post-trade processing using Java, Kafka, Flink, SingleStore, HDFS/S3, and Scala. You will own the full lifecycle of core systems, designing distributed computation and an AI-powered UI/agent framework to deliver intelligent analytics over large-scale business data.

This hands-on Lead Pricing Engineer role uses Java and ultra-low-latency development for Citi's FX eTrading pricing team. The team defines and implements solutions for multiple asset classes within the largest global FX bank. The position includes managing a high-quality team of engineers.

You will work with Rust, Java, C++, KDB, event-sourcing microservices, Linux, TCP, and kernel-bypass networking (Solarflare OpenOnload). The High Performance Architectures team builds low-latency application frameworks and supports modernisation for over 100 eTrading teams across Citi.

Build microservices-based event sourcing systems on an in-house low-latency framework using Java, Rust, C++, KDB, and market data technologies within Citi’s London High Performance Architectures team. The team provides application frameworks and modernization support to over 100 teams, with a focus on low-latency algorithmic trading platforms in Markets Technology.

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.

You will develop FX trading systems using Java, applying ultra low-latency practices and architectural design. You will deliver hands-on technical implementations for Citi's global FX business, working directly with trading and quant teams to build new systems and renovate legacy ones.

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.

Java back-end developer using microservices, REST APIs, AWS (Lambda, EKS, RDS, S3, MSK), CI/CD, and AI tools (GitHub Copilot, LLMs). Builds next-gen trading and cash management systems for the Short-Term, Cash, and Collateral desks, modernizing platforms and migrating to AWS.

The role involves working with Java (server-side, multithreading), kdb+/q, Python, and CI/CD/testing frameworks. It sits within a specialist team that builds low-latency pricing, eTrading, and eRisk components for Rates and FX products, covering forwards, futures, swaps, bonds, and eCommerce quoting.

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.

Java (JDK 11+), multithreading, SQL/NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB, Cassandra), message queuing (Kafka, Tibco, Solace), Linux, JVM, and TDD. This tech lead role builds high-performance FX risk calculation systems for Citi’s Markets technology team, which supports global trading and risk management.

Work with C#, Python, Java, SQL, and AWS (ECS, S3, DynamoDB) to design, build, and maintain TradingHub’s market data environment and analytics. Collaborate with Pricing Quants and Risk Strats to productionise financial markets data for the company’s trade surveillance software.

You'll work with C# and .NET as core systems, plus Python across quant and data groups, and may use other OO languages. The role involves designing and building high-impact trading and research platforms for a fixed-income hedge fund's front-office engineering team.

You will build high-performance Java engines for algorithmic trading and liquidity seeking, and develop real-time trading desktops with React. Docker and Kubernetes experience is desirable. The team designs algo strategies and builds real-time systems for trading equity algo orders for Berenberg’s electronic trading expansion.

Backend engineers will use Java, Elixir, Scala, and TypeScript, plus Kubernetes, Docker, Linux, git, SQL, and Spark, to build compliance technology for a tech-driven proprietary trading firm. The team supports regulatory reporting and trade surveillance across global markets, with developers owning tasks end-to-end.

Zanders★4.5 (2)· London

Work with modern C++ (STL, templates, RAII, unit testing, build systems); Python or Java; Linux; GPU compute (CUDA, ROCm); and HPC tools (MPI, Slurm). Lead quantitative engagements designing, developing, and validating models for market risk, counterparty credit risk (CCR), CVA/XVA, margin models, and derivatives pricing across asset classes. Act as a career coach for up to three direct reports.

Cboe Global Markets★3.7 (14)· London

You'll work primarily with Python to design and build highly reliable trading systems, working closely with advanced SQL, Linux, and optionally PostgreSQL, Snowflake, Apache Kafka, Apache Airflow, Django, Flask, or FastAPI. You'll expand data pipeline and event streaming functionality for Europe's largest equities exchange and related platforms, while leading complex projects, mentoring developers across multiple global teams, and participating in production support for Cboe Europe's trading operations.

JPMorgan★3.9 (20k)· London

Lead projects on the Strategic Index Technology team, using Python, Java, C++, or C# to build and maintain the cross-markets index platform alongside Quantitative Research, Trading, and Sales.

Java, low-latency distributed systems, and front-office electronic trading platforms. This senior hands-on engineering leader designs and delivers strategic technology solutions for a global financial institution’s trading environment, working directly with traders and quants while providing technical mentorship.

You will work with Go and/or Python, plus Kubernetes, Docker, and cloud infrastructure. You'll support a systematic cryptocurrency trading team by maintaining live production trading and research systems, and helping to deploy strategies.

Barclays★3.9 (6.9k)· London

Design, develop, and deploy analytics, machine learning, and AI capabilities using Python, Java, and SQL. You will build agentic, AI-enabled solutions connecting models, data, APIs, and workflows to support Barclays’ Markets business, enhancing risk oversight and operational efficiency. Work with front-office technology, engineering, data, and central AI teams to deliver production-ready applications.

Morgan McKinley★3.8 (45)· London

Core Java, Linux, low-latency messaging (FIX, SBE, Aeron, 29West), OMS, and performance profiling. The role designs and builds next-generation server-side crypto trading systems for a digital assets and data center infrastructure leader.

Develop low latency trading infrastructure using Python or Java, working on greenfield projects with the latest core technology stack. The role is with an elite tech firm.

UBS★3.8 (2.5k)· London

Python essential; KDB/Java/C++ beneficial; Unix systems and DevOps a plus. You will join the CRB desk within UBS Global Markets, managing the team book and automated processes, applying a data-driven systematic approach to trading, and designing/backtesting trading strategies in Equities, ETFs, and Delta1.

Site Reliability Engineers will work with Python, cloud technologies, the Athena ecosystem (SecDB, Quartz), Linux, and Kubernetes. They will automate and re-engineer processes for the Market Risk Platform in a banking/finance/trading domain, using agentic AI to eliminate toil and improve reliability.