Quantitative Analyst (Electronic Market Making & Rates) - VP
Citigroup
- Location
- Paris France
- Work model
- On-Site
- Level
- Staff
- Posted
- Aug 27, 2026
Skills
About this role
Shape the Future of Electronic Trading We are seeking an experienced Quantitative Analyst to join our Markets business, partnering closely with traders, technologists, and structurers to drive the next generation of electronic market-making solutions. This is an exciting opportunity to work at the intersection of quantitative research, machine learning, software engineering, and fixed income markets, delivering models and analytics that directly influence trading performance and business strategy. As a key member of the team, you will design and develop sophisticated pricing, prediction, and hedging models while contributing to the evolution of our electronic trading platform. You will operate in a highly collaborative environment, applying advanced quantitative techniques to real-world market challenges and helping shape the future direction of our rates franchise.
What You'll Do
Research, develop, and enhance electronic market-making models, including: Bid-offer optimization models Price prediction and signal-generation frameworks Automated pricing and execution algorithms Hedging and risk-management solutions Leverage advanced quantitative techniques spanning: Machine learning and artificial intelligence Statistics and probability Mathematical finance Optimization and predictive analytics Build scalable, high-performance analytical tools and production-ready models using technologies such as Python, KDB/Q, Rust, and Java. Work with large-scale market data sets and contribute to data engineering and infrastructure initiatives that support quantitative research and trading. Partner closely with Traders, Structurers, and Technology teams to translate quantitative insights into commercially impactful solutions. Contribute to strategic decision-making by identifying opportunities to improve trading efficiency, execution quality, and risk management. Influence the development of new methodologies, processes, and workflows across the broader quantitative and electronic trading ecosystem. Provide subject matter expertise and quantitative guidance to business stakeholders and technology partners. Collaborate with Risk, Compliance, Legal, Audit, and Finance teams to ensure robust governance frameworks and controls are embedded within solutions. Champion a culture of innovation, accountability, responsible risk-taking, and operational excellence.
What We're Looking For
Essential Experience & Skills Extensive prior experience in quantitative research, quantitative trading, algorithmic trading, or a comparable analytics role. Proven track record developing and deploying quantitative models in electronic trading or market-making environments. Strong expertise in: Machine learning Statistics and probability Quantitative modelling and predictive analytics Advanced programming skills, with Python being essential. Experience with time-series databases and market data technologies, particularly KDB/Q. Exposure to data engineering concepts and large-scale market data environments. Solid understanding of fixed income markets, with specific knowledge of Rates products. Excellent analytical and problem-solving capabilities, with the ability to balance attention to detail and broader commercial objectives. Strong communication and stakeholder management skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
Preferred Qualifications
Experience with lower-level programming languages such as Rust or Java. Advanced degree (Master's or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, or a related field. Experience working in highly regulated financial markets environments. Why Join Us? Work on mission-critical quantitative and electronic trading initiatives with direct business impact. Collaborate with leading traders, technologists, and quantitative professionals across global markets. Apply cutting-edge machine learning and