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Quant Developer – Trading Analytics – Equity Derivatives Tech. Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. We are hiring a hands-on Quantitative Developer to build data-driven, model-led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real-time market insight.
Job Responsibility
Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses
Partner with traders and quants to productionise models and analytical workflows
Build real-time pricing, risk, and market data analytics to support positions, Greeks, P&L, exposures, and execution monitoring
Develop backtesting and simulation frameworks for equity derivatives and structured products
Create data pipelines and services for market data, trade data and derived analytics
Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support
Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices
Optimise performance, scalability, and reliability of quantitative applications
Requirements
Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray
Experience with high-performance data stores and query engines like Trino/Snowflake
Experience with financial concepts such as Equities / Options / Futures
Demonstrable evidence using agentic frameworks for Software development and experience with AI-native solutions using context engineering techniques
A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software Engineering
Nice to have
Experience with real-time streaming analytics tech like Kafka / Flink
Experience with cloud container technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes
What we offer
27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources
Hybrid working model (up to 2 days working at home per week)