18 hours ago
London, United KingdomSenior
Responsibilities
- Architect, build, and optimize resilient, high-throughput market data engines, curve builders, pricing integration layers, and real-time distribution services.
- Design modular APIs and event-driven architectures using Java, Python, or .NET/C# ecosystems.
- Deliver reliable tick, end-of-day, and historical market data feeds to pricing libraries and trading applications.
- Partner with front-office traders, quantitative analysts, risk managers, and operations to translate business requirements into production-ready software.
- Integrate pricing models, risk calculators, and real-time analytics with quantitative analysis teams.
- Prototype Generative AI and agentic workflows for code review, workflow orchestration, anomaly detection, market data validation, monitoring, troubleshooting, and developer tooling.
- Own delivery from requirements analysis and technical design through deployment, production monitoring, and support.
- Drive testing, CI/CD, containerization, observability, and low-latency performance tuning practices.
Requirements
- Advanced proficiency in Java, Python, or .NET/C# with relevant concurrency, asynchronous programming, performance tuning, or memory-management expertise.
- Strong experience with enterprise messaging and streaming frameworks such as Apache Kafka, RabbitMQ, Solace, ZeroMQ, or gRPC.
- Proficiency with relational databases and time-series or caching technologies such as PostgreSQL, Oracle, SQL Server, Redis, InfluxDB, or KDB+/q.
- Practical experience with Git, CI/CD automation, Docker, Kubernetes or OpenShift, and Linux.
- Familiarity with LLMs, Generative AI tools, and agentic frameworks such as LangChain, LlamaIndex, MCP tools, or automated coding agents.
- Experience in a Tier-1 investment bank, hedge fund, or major financial institution.
- Strong knowledge of Commodities or adjacent FX, Rates, or Equities products and market data fundamentals including tick data, exchange connectivity, forward curves, volatilities, and reference data feeds.
- Bachelor’s or university degree, or equivalent experience; a Master’s degree is preferred.
- Strong communication, stakeholder management, ownership, problem-solving, and agility in a fast-paced front-office environment.
Benefits
- Hybrid London working model with up to two days working from home per week.
- At least 27 days of holiday plus bank holidays, increasing with tenure.
- Private medical insurance packages, an Employee Assistance Program, pension plan, and paid parental leave.
- Employee discounts for employees, family, and friends.
- Access to learning and development resources.
- Full-time position with a business-casual workplace.
Tech Stack
Apache KafkaC#DockerFastAPIGitgRPCInfluxDBJavaJenkinsKubernetesLinuxMicrosoft SQL Server.NETNumPyOpenShiftPandasPostgreSQLPythonRabbitMQRedisSpring BootTekton
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.