AVP Quantitative Analyst – Flow Equity Derivatives

Citi is looking for a Quantitative Analyst to join the Markets Quantitative Analytics team, building and deploying cutting-edge analytics, models, and tools for the Flow Equity Derivatives business across Index, Single Stock, and Convertible Bond desks in North America. In this role, you will work at the intersection of quantitative research and live trading, developing solutions that directly shape how Citi prices, quotes, and hedges equity derivatives in real time.

If you are driven by innovation and want to see your work make an immediate impact on a high-performance trading desk, this is the opportunity for you.

• Build quantitative libraries and analytics tools that support real-time pricing and risk management for flow equity derivatives products.
• Develop and maintain models for volatility surface construction, volatility event prediction, and options bid-offer and dividend fitting algorithms.
• Design and implement auto-quoting and robo-hedging strategies that improve the speed and consistency of the trading desk's execution.
• Apply machine learning techniques, including reinforcement learning, statistical modelling, and numerical optimization to solve complex quantitative problems.
• Collaborate directly with traders and technology teams to translate business requirements into robust, production-ready quantitative solutions.
• Adhere to rigorous software development standards across the full model development lifecycle, from research and validation through to deployment of approved models in production.
• Partner with Legal, Compliance, Risk, Audit, and Finance functions to ensure models meet governance and control requirements.

• Up to 3 years of experience in a quantitative modelling or analytics role, or an equivalent strong academic background in a quantitative discipline.
• Proficiency in Python, used to build and deliver quantitative models and analytics in a structured development environment.
• Programming skills in C++, applied to performance-sensitive quantitative work.
• Working knowledge of mathematical finance, including the ability to implement and interpret models for options and derivatives pricing.
• Practical ability to apply statistical and machine learning techniques to data analysis and time-series modelling problems.
• Familiarity with numerical methods and optimization, applied to model calibration or algorithm design.
• Foundational knowledge of flow equity derivatives products, including American and European options, Variance Swaps, and VIX Futures and Options.
• Clear and effective communication skills, with the ability to articulate quantitative concepts to traders, technologists, and control functions.

• A Master's degree in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.
• Hands-on experience applying reinforcement learning techniques to quantitative finance or trading strategy problems.
• Familiarity with software design principles and best practices, particularly in the context of building maintainable quantitative libraries.

• Direct collaboration with trading professionals on the Index, Single Stock, and Convertible Bond desks, giving your work immediate real-world context and impact.
• Access to MQA Connect, a community and programme focused on professional development, knowledge sharing, and career growth within the quantitative analytics function.
• Exposure to the full model development lifecycle in a highly regulated environment, building expertise that is directly transferable across quantitative finance roles.
• Hybrid working model with 3 days in the office and 2 days working remotely, providing flexibility while maintaining strong desk-level collaboration.
• A defined path for technical and career development within a global markets organisation, with access to mentorship and cross-functional learning opportunities.
• A role that grows with you, offering increasing scope and responsibility as you develop expertise in equity derivatives quantitative analysis.

Primary

Location:

New York New York United States

Time Type:
Full time

Primary Location Full Time Salary Range: $ - $

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