Quantitative Analyst (VP), Commodities

About the role

Citi's Markets Quantitative Analytics (MQA) team is looking for a Quantitative Analyst to develop and deliver advanced pricing models and risk analytics for our front office Commodities desk in Houston. In this role, you will apply cutting-edge mathematical and computational techniques to solve complex problems across commodity derivatives, working directly with trading, sales, and structuring teams to drive real business outcomes. This is a high-impact technical position at the heart of one of the world's leading financial institutions, offering the scale, complexity, and collaboration needed to make a meaningful contribution to global markets.

Responsibilities

• 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.

Required Qualifications & Skills

• 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.

Beneficial Skills & Qualifications

• 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.

Benefits

• Medical, dental & vision coverage
• 401(k)
• Life, accident, and disability insurance
• Wellness programs
• Paid time off: planned time off (vacation), unplanned time off (sick leave), and paid holidays
• Financial wellbeing support
• Programmes designed to promote personal well-being and work-life balance
• Competitive total compensation package designed to support long-term career and personal well-being

Pay

Salary range: $175,000.00 - $250,000.00. Competitive