Quantitative Analyst (VP), Commodities
About The Position
Citi's Markets Quantitative Analytics (MQA) team is seeking a Quantitative Analyst to develop and deliver advanced pricing models and risk analytics for the front-office Commodities desk in Houston. The role applies mathematical and computational techniques to problems involving commodity derivatives and works closely with trading, sales, and structuring teams to support business and client activity. The analyst builds and enhances pricing and risk analytics, develops rigorous production-ready models, and writes maintainable software in C++ and Python, as well as JavaScript and React for front-end tooling. The position also involves coordinating with risk, legal, compliance, and audit stakeholders on model governance, documentation, and regulatory standards, and improving analytical frameworks as markets evolve.
Requirements
- Master's or PhD in a quantitative discipline such as Financial Engineering, Mathematics, Physics, or 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, and ability to apply them to complex financial instruments.
- Ability to derive and solve analytical equations and construct numerical schemes for pricing and analyzing intricate financial contracts.
- Knowledge of software design principles and a track record of writing clean, scalable, maintainable code in a professional environment.
- Clear and concise communication skills, including the ability to explain complex quantitative concepts to technical and non-technical stakeholders.
- Prior experience in a quantitative modeling or analytics role, with exposure to financial markets or a strong desire to apply quantitative skills in a markets context.
Nice To Haves
- Familiarity with commodities markets, including commodity derivatives products and pricing and risk dynamics.
- Experience working in or closely with a front-office environment and understanding how quantitative models integrate with trading workflows.
- Exposure to JavaScript or React development in a quantitative or financial technology context.
Responsibilities
- Build and enhance analytics libraries supporting pricing and risk management of commodity derivatives across the front-office trading book.
- Design and implement quantitative models for commodity products using advanced calculus, mathematical finance, statistical methods, and numerical analysis.
- Develop maintainable code in C++ and Python, and JavaScript and React for front-end tooling, following software engineering standards throughout the development lifecycle.
- Work with Traders, Sales, and Structurers to translate business requirements into quantitative solutions supporting trading decisions and client activity.
- Engage with Model Risk Management, Market Risk, Credit Risk, Legal, Compliance, and Audit to support model governance, documentation, and regulatory compliance.
- Improve analytical frameworks by refining existing models and developing new approaches as market dynamics evolve.
Benefits
- Competitive compensation package.
- Continuous learning and professional development resources.
- Comprehensive benefits package, including medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid time off, including vacation, sick leave, and paid holidays.
- Financial wellbeing support and programs designed to promote personal wellbeing and work-life balance.
- Eligible employees may receive discretionary and formulaic incentive and retention awards.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
