Quantitative Trading & Research - Equity Derivatives Flow - Vice President Job Rochester area,City of Rochester New York USA,Finance &

The Quantitative Trading & Research Team (QTR) Equity Derivatives group seeks a junior to mid-level quantitative researcher to focus on flow products. The role centers on driving and implementing analytics, optimization, and modeling across volatility trading, encompassing volatility surface calibration, client analytics, and pre-trade/post-trade analysis and hedging optimization.

Job Summary:

As a Vice President for the Quantitative Trading & Research Team, you will leverage data and advanced quantitative techniques, including machine learning, to build end-to-end solutions that directly support the business.

Job Responsibilities:

Partner with the Equity Derivatives Flow trading desk to build analytics and develop, enhance, and maintain pricing and risk models for flow products.
Lead research and implementation of volatility trading analytics, with a focus on volatility surface calibration and modeling.
Design and deliver client analytics tools, including pre-trade and post-trade analysis and hedging optimization frameworks.
Take an active role in shaping a data-driven ecosystem for trading and risk management.
Own the full project lifecycle — from ideation and prototyping to production deployment — developing analytics to manage client flow and risk inventory, supporting daily operations, and monitoring performance.
Work closely with traders to translate quantitative research into clear, actionable insights and solutions.

Required Qualifications , Capabilities, and

Skills:

Advanced degree (Master's or Ph.D.) in a quantitative discipline (Mathematics, Physics, Engineering, Computer Science, Financial Engineering, or related field) from a top-tier university.
1–3 years of experience in equity modeling, with a preference for equity derivatives.
Strong foundation in stochastic calculus, probability theory, and numerical methods.
Deep knowledge of option theory and equity derivatives products and markets.
Proficiency in Python, C++, and relevant numerical computing packages.
Demonstrated experience with quantitative research techniques, data analysis, and machine learning.
Strong communication skills with the ability to engage effectively with trading and deliver production-ready solutions.

Preferred Qualifications , Capabilities, and

Skills:

Experience analyzing market data and applying insights to derivatives trading strategies.
Familiarity with risk management frameworks and relevant regulatory requirements.
Prior exposure to a front-office quantitative research or trading environment.
Proven ability to embed LLM-driven tools into quantitative research pipelines — whether for automating analysis, accelerating model development, or extracting insights from unstructured financial data.
Self-motivated and intellectually independent, with a track record of identifying research opportunities, taking ownership of open-ended problems, and delivering results with minimal oversight.
Curious and rigorous analytical thinker who challenges conventional assumptions, synthesizes ideas across domains, and translates original research into practical, high-impact trading tools.