Quantitative Analyst; VP), Commodities

• Build and enhance analytics libraries that support the accurate pricing and risk management of commodity derivatives across the front office trading book.
• Design and implement quantitative models for commodity products, applying techniques spanning advanced calculus, mathematical finance, statistical methods, and numerical analysis to ensure models are rigorous and production-ready.
• Develop high-quality, maintainable code in C++ and Python, as well as JavaScript and React for front-end tooling, maintaining strong software engineering standards throughout the development lifecycle.
• Partner with Traders, Sales, and Structurers to translate complex business requirements into tailored quantitative solutions that directly support trading decisions and client activity.
• Engage with Model Risk Management, Market Risk, Credit Risk, Legal, Compliance, and Audit teams to ensure models are well-governed, fully documented, and meet regulatory standards.
• Contribute to the continuous improvement of the team's analytical frameworks, identifying opportunities to refine existing models and develop new approaches as market dynamics evolve.

• Advanced degree (Master's or PhD) in a quantitative discipline such as Financial Engineering, Mathematics, Physics, Computer Science, or an equivalent field.
• Proficiency in C++ and Python, with demonstrated experience building robust, production-grade quantitative libraries and analytics applications.
• Strong theoretical and applied foundation in probability, statistics, and market data analysis, with the ability to apply these rigorously to complex financial instruments.
• Ability to derive and solve analytical equations and construct numerical schemes for pricing and analysing intricate financial contracts.
• Solid knowledge of software design principles, with a track record of writing clean, scalable, and maintainable code in a professional environment.
• Clear and concise communication skills, with the ability to present complex quantitative concepts to technical and non-technical stakeholders alike.
• Prior experience in a quantitative modelling or analytics role, with exposure to financial markets or a strong desire to apply quantitative skills in a markets context.

• Familiarity with commodities markets, including knowledge of commodity derivatives products and the dynamics that drive pricing and risk in this asset class.
• Experience working in or closely with a front office environment, with an understanding of how quantitative models integrate with trading workflows.
• Exposure to JavaScript or React development in a quantitative or financial technology context.

At Citi in Houston, you will work within a high-performing quantitative team that operates at the intersection of cutting-edge research and live markets, giving you direct exposure to complex problems and real trading impact. We offer a competitive total compensation package alongside a range of benefits designed to support your long-term career and personal well-being.

• Hybrid working model, with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong team collaboration.
• Competitive compensation package reflecting the technical complexity and market impact of the role.
• Access to continuous learning and professional development resources to keep your technical skills at the leading edge.
• Exposure to global markets, cross-functional teams, and senior stakeholders, accelerating your development as a quantitative professional.
• A performance-driven environment where your technical contributions are directly connected to business outcomes and recognised accordingly.
• Comprehensive benefits package,…