Commodities Quantitative Analyst (AVP)

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

Citi's Markets business is a leading global financial institution, offering a wide range of financial products and services to corporations, governments, and institutional investors. Within this dynamic environment, the Markets Quantitative Analytics (MQA) team plays a critical role, providing advanced analytical and modeling capabilities. The MQA team develops and supports the sophisticated models and analytics necessary for the business, working in close coordination with trading desks, various functions, IT partners, and control functions. The team leverages diverse modeling and pricing techniques to analyze the complex dynamics prevalent in commodities markets, continuously developing cutting-edge solutions to facilitate business growth and adaptation in evolving market conditions.

We are seeking a highly motivated Quantitative Analyst to join our front office Commodities Quant team in Houston. This role offers an exciting opportunity to contribute directly to the development of advanced quantitative models and analytics that drive our trading strategies and risk management frameworks. As an AVP, you will be instrumental in solving complex financial problems using sophisticated mathematical and computational methods, working alongside seasoned professionals in a fast-paced and intellectually stimulating environment. This position is ideal for an individual who thrives on technical challenges and wants to make a tangible impact on a global scale within a top-tier investment bank.

Primary Responsibilities of the Role

• Develop and enhance analytics libraries crucial for pricing and effective risk management of commodity derivatives.
• Design, implement, and rigorously test quantitative models for the trading business, utilizing a diverse set of mathematical and computer science techniques, including advanced calculus, C++, Python, JavaScript/React development, mathematical finance, and statistical methodologies.
• Collaborate closely with Traders, Sales, and Structurers to understand business requirements and deliver tailored quantitative solutions that directly support trading and client needs.
• Work proactively with control functions such as Model Risk Management, Legal, Compliance, Market and Credit Risk, and Audit to ensure robust governance and control infrastructure around model development and usage.
• Drive responsible financial practices, foster good governance, and uphold ethical standards in all business decisions, demonstrating a keen awareness of the firm’s reputation.
• Adhere strictly to all internal policies and procedures relevant to the role, ensuring full compliance with regulatory requirements.

What We Need From You

• Experience in a quantitative modeling or analytics role, with a preference for experience within the financial sector.
• Solid understanding of commodities markets is highly desirable, but not a mandatory pre-requisite if strong foundational quantitative skills are demonstrated.
• Expertise in programming, particularly C++ and Python, with proven experience in developing robust quantitative libraries and applications.
• Strong theoretical and practical background in market data, statistics, and probability, including the application of probability theory to assess risks in complex financial instruments.
• Demonstrated ability to solve analytical equations and design numerical schemes for analyzing intricate financial contracts.
• Proficiency in software design principles and best practices for developing high-quality, maintainable code.
• Exceptional clear and concise written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• An advanced degree (Master's or PhD) in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or a related discipline is required.

What Citi Can Offer You

Joining Citi means becoming part of a global enterprise that values talent, innovation, and diversity. In Houston, you will find a collaborative and supportive work environment that encourages professional growth and career development. Citi is committed to providing competitive compensation packages, comprehensive benefits, and opportunities for continuous learning. We believe in empowering our employees to thrive and contribute their best, fostering an inclusive culture where every individual can make a significant impact. We offer a platform where your expertise can shape the future of financial markets, supported by a strong commitment to your personal and professional well-being.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Institutional Trading

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Job Family:

Quantitative Analysis

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Time Type:

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Primary Location:

Houston Texas United States

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Primary Location Full Time Salary Range:

$60,800.00 - $263,760.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Anticipated Posting Close Date:

Apr 26, 2026

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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