Equities Risk Book; CRB Quantitative Analyst - Vice President

Overview

Citi is a global financial services institution that delivers a broad range of financial products and services to consumers, corporations, governments, and institutions. Within Citi's Markets business, our Markets Quantitative Analytics team plays a critical role in developing cutting-edge quantitative models and analytical tools that drive our trading strategies and risk management frameworks. This team provides the intellectual capital and innovative solutions essential for navigating complex financial markets and delivering superior outcomes for our clients.

We are seeking a highly skilled and experienced Vice President to join our Equities Central Risk Book (CRB) Quantitative Analyst team in New York. This pivotal role involves contributing to the development and enhancement of systematic trading models, alpha signals, and risk measures within our algorithmic portfolio management systems. The successful candidate will have a direct impact on balancing risk, managing transaction costs, and optimizing expected returns for our trading books.

This is an exciting opportunity to work at the forefront of quantitative finance, collaborating closely with trading desks to strategically advance our modeling, risk, systematic liquidity facilitation, and trading infrastructure.

• Develop tools, systematic trading models, alpha signals, and risk measures for the Equities Central Risk Book.
• Contribute significantly to the development and enhancement of algorithmic portfolio management systems, focusing on balancing risk, transaction costs, tracking error, and expected returns of trading books.
• Collaborate closely with the trading desk to enhance the business via the strategic development of modeling, risk, systematic liquidity facilitation, and trading infrastructure.
• Analyze historical data, build mathematical models, and conduct back-tests and simulations using available internal and external trade, quote, and execution data sets.
• Undertake substantial coding in a daily capacity to programmatically analyze, test, and implement models.
• Work effectively within a team consisting of traders, quantitative analysts, and technologists to achieve business objectives.

• Strong background in mathematical finance and statistical analysis.
• At least two years of experience in the quantitative aspects of algorithmic trading, with preference for direct experience in Equities and the automated management of portfolio risk.
• Strong technical programming proficiency in languages such as Q/KDB and Python.
• Solid knowledge of pricing, risk models, statistical analysis, and portfolio management.
• Proven track record in delivering production-ready projects in a quantitative finance setting.
• Demonstrated keen interest and understanding of financial markets.
• Knowledge of market microstructure.
• Strong teamwork capabilities and the ability to consistently demonstrate clear and concise written and verbal communication skills.
• Education:
  
  Master s degree in Mathematics, Physics, Statistics, or a closely related quantitative field.

Joining Citi as a Vice President in New York means becoming part of a dynamic and inclusive environment where your expertise is valued and your career growth is prioritized. We offer a competitive compensation package that recognizes your skills and contributions. You will have access to a wealth of professional development opportunities, allowing you to continuously enhance your knowledge and advance your career within a leading global financial institution.

Our supportive work environment encourages innovation, collaboration, and individual empowerment, ensuring you can thrive and make a significant impact.

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

Anticipated Posting Close Date:
Mar 29, 2026

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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