About this role
Salary: £62,000 - 102,000 per year
Requirements: We require strong Python data engineering skills, including Pandas, Parquet, FastAPI, Jupyter, Airflow, Streamlit, and Ray.We require experience with high-performance data stores and query engines such as Trino and Snowflake.We require experience with financial concepts including Equities, Options, and Futures.We require demonstrable evidence of using agentic frameworks for software development and AI-native solutions using context engineering techniques.We require a degree in a quantitative subject such as Engineering, Applied Mathematics, Physics, or Software Engineering.We prefer experience with real-time streaming analytics technologies such as Kafka and Flink.We prefer experience with cloud and container technologies such as AWS, Azure, GCP, Docker, or Kubernetes. Responsibilities: We work directly with traders, quants, and structurers to design and deliver production-grade tools for the front office.We build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses.We partner with traders and quants to productionise models and analytical workflows.We build real-time pricing, risk, and market data analytics to support positions, Greeks, P&L, exposures, and execution monitoring.We develop backtesting and simulation frameworks for equity derivatives and structured products.We create data pipelines and services for market data, trade data, and derived analytics.We deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.We improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.We optimise performance, scalability, and reliability of quantitative applications. Technologies: AIAirflowAWSAzureCloudDockerFastAPIFlowFlinkGCPSupportJupyterKafkaKubernetesPythonSnowflakepandasDevOpsNetworkQuant More:
We are Citi, and our Tech team is helping redefine global finance at scale, supporting a business that moves $5 trillion daily across 180+ countries. Our Equities Technology organisation is undergoing a bold multi-year transformation to build a best-in-class global platform across execution, prime, clearing, and cross-product margining, and our front-office quantitative development team supports the Derivatives Flow, Delta 1, and Exotics desks. This full-time role is based in London, England, United Kingdom, with a hybrid working model of up to 2 days working from home per week. We offer a business casual workplace, a competitive annual salary review, a discretionary performance bonus, private medical care and life insurance, an employee assistance program, a pension plan, paid parental leave, 27 days annual leave plus bank holidays, learning and development resources, and employee discounts. We are committed to inclusion, flexibility, mentorship, and continuous learning so our people can thrive.
last updated 36 week of 2026