T. Rowe Price★3.6 (709)· London

SQL, Excel, Jupyter notebooks, Jira, and Confluence are used. The role partners with the Fixed Income Investments technology team to build next-generation cloud-first portfolio management capabilities for front office engineering teams.

Lead the Credit Risk Analytics IT team using S&P Global FRA (fraimWRX), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, and MS Azure. The team designs, integrates, and supports systems for calculating and reporting Credit Risk across all locations. This is a VP-level role managing onshore, nearshore, and offshore developers.

MUFG★3.3 (1k)· London

Works with S&P Global FRA, fraimWRX (AKS), Redis, Kafka, Spark, HBASE, HDFS, Kubernetes, Python, .NET, C#, MS SQL Server, MS Azure. Leads the Credit Risk Analytics IT team, designing and integrating Middle Office systems for calculating and reporting Credit Risk across all locations. Manages onshore, nearshore, and offshore teams.

Use Core Java, Spring, Linux, relational databases, and multi-threading to build and maintain front office eTrading applications for Fixed Income and Derivatives flows. You will work directly with traders, sales, and quants in a globally distributed team, optimizing performance and supporting low-latency solutions.

Core Java, Spring Framework, Linux, and relational databases for low-latency eTrading applications on a globally distributed team building the next generation Front Office Trading System for Fixed Income and Derivatives flows.

Java, Spring Boot, DevOps, and Linux are used to design and develop front office eTrading applications for the trading business, working directly with traders, sales, and quants. The role is part of a globally distributed team.

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.

Uses Jira and Confluence; desired familiarity with C++ or Python, Linux, and CI/CD. The Market Data Integration team manages market data projects, including technical scoping, migrations, and coordination with exchanges and vendors for live trading and historical research data.

Work with Python, SQL, and infrastructure deployment to build features for financial-data products. The team is a fast-moving fintech startup developing products that traders and researchers actually use.

Hudson River Trading★4.5 (2)· London

Work with Linux, SaltStack, Python, bash, and JIRA to design, automate, and optimize worldwide trading infrastructure. The team builds and maintains ultra low-latency operating systems and automation software that power HRT’s global 24/7 trading.

Hudson River Trading★4.5 (2)· London

Work with Linux systems (Debian/Ubuntu), SaltStack, shell (bash) scripting, JIRA, and TCP/IP networking on infrastructure supporting ultra low-latency trading. The team builds and maintains the production trading environment, managing hardware, kernel, and applications for global 24/7 operations.

Citi★3.9 (21k)· London

You'll lead Java development on Citi's FX risk management platform, architecting high-performance, low-latency systems processing real-time risk data at scale using Java with AI-powered tools including GitHub Copilot, Devin.AI, and Citi Squad integrated into daily workflows, alongside Docker, Kubernetes, and enterprise DevOps pipelines. The team, part of Citi's 30,000-person global technology organization, manages a greenfield application in production for three years with committed long-term investment, delivering weekly releases in an agile environment.

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.