Senior Quantitative Analyst, Agency Prepayment Modeling

Responsibilities

• Development and enhancement of agency prepayment models, applying statistical and probability-based techniques to accurately forecast mortgage prepayment behavior and support immediate modeling priorities.
• Develop and support quantitative models leveraging a broad range of tools including C++ and Python, applying object-oriented software design principles to deliver scalable, production-quality solutions.
• Partner closely with traders, structurers, and technology professionals to ensure models are well-integrated into trading workflows and meet real-world business requirements.
• Collaborate with risk, compliance, legal, audit, and finance functions to maintain robust governance and control frameworks around model development and deployment.
• Evaluate the risk and reward of quantitative approaches, applying sound judgment to uphold the integrity of modeling outputs and the firm's standards of responsible finance.
• 1 to 6 years of experience in a quantitative modeling or analytics role within the financial sector, with hands-on experience in prepayment modeling and previous collaboration with trading desks considered essential for this position.
• Deep expertise in agency and/or non-agency prepayment modeling, with the ability to contribute to active modeling efforts from day one.
• A solid understanding of object-oriented software design and the application of statistical and probability-based methods to financial modeling problems.
• Practical knowledge of market data, mathematical finance, and quantitative methods, including the use of probability theory to evaluate complex financial instruments and design numerical schemes for contract analysis.
• Product knowledge across investments and quantitative financial instruments, enabling effective collaboration with trading and structuring teams.
• Clear and precise written and verbal communication skills, with the ability to translate complex quantitative concepts for colleagues across technical and non-technical functions.
• Master's degree in a quantitative discipline such as mathematics, financial engineering, statistics, physics, or computer science.
• Familiarity with hardware acceleration techniques applied to quantitative computation.

Required qualifications & skills

Beneficial skills & qualifications

What we offer

• At Citi, you will work within a high-performing team of quantitative professionals operating at the forefront of mortgage analytics. This role offers the opportunity to shape the direction of a critical modeling function, work alongside some of the most experienced practitioners in the field, and build your career within a global financial institution that operates across more than 160 countries.
• A hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility alongside meaningful in-person collaboration.
• Direct impact on live trading and risk management decisions through your modeling work, with visibility to senior stakeholders across the business.
• Access to continuous learning and professional development resources to deepen your quantitative and technical expertise over time.
• Exposure to a broad set of asset classes and quantitative disciplines, enabling long-term career growth within Citi's global markets organization.
• Competitive compensation and a comprehensive benefits package, including financial wellbeing, health, and family support programs.
• A collaborative team environment where technical excellence, accountability, and delivery are valued and recognized.
• Apply now to bring your prepayment modeling expertise to Citi's MQA team and make an immediate impact on one of the most technically demanding and commercially significant modeling functions in global fixed income markets.

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Most Relevant Skills

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Automated Processing and AI

Qualifications

• Familiarity with hardware acceleration techniques applied to quantitative computation.