Quantitative Research – Equity Derivatives Flow - Vice President

Location: New York, NY, United States

Job Family: Data Management

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. The Quantitative Research team within the Equity Derivatives Flow group at JPMorgan Chase is at the forefront of innovation in financial markets, leveraging cutting-edge quantitative techniques to drive trading strategies and client solutions. We are seeking a Vice President-level Quantitative Researcher to join our New York office, focusing on flow products such as vanilla options, flow exotics, and volatility instruments. This role offers the opportunity to contribute to high-impact projects in a dynamic environment where your models directly influence billions in daily trading volume. In this position, you will develop sophisticated mathematical models to price, hedge, and risk-manage equity derivatives, drawing on advanced stochastic processes and empirical market data. You will collaborate closely with traders, structurers, and engineers to translate research into actionable tools, ensuring seamless integration into JPMorgan's proprietary platforms. Responsibilities include researching volatility dynamics, optimizing flow trading algorithms, and validating models against real-world scenarios to mitigate risks in volatile markets. As part of a world-class team, you will engage in ongoing innovation, responding to client demands and regulatory requirements in the fast-evolving derivatives landscape. The ideal candidate thrives in JPMorgan Chase's collaborative culture, combining deep technical expertise with a passion for financial markets. This role provides exposure to senior leadership and global opportunities within the firm, supporting career growth in quantitative finance. If you are eager to apply your skills at one of the world's most respected institutions, join us in shaping the future of equity derivatives trading.

Key Responsibilities

• Develop and enhance quantitative models for pricing and hedging equity derivatives flow products
• Conduct research on market dynamics, volatility surfaces, and flow trading strategies
• Collaborate with trading desks, risk management, and technology teams to implement models in production
• Perform backtesting and validation of quantitative models to ensure accuracy and compliance
• Analyze large datasets to identify trading opportunities and improve model performance
• Contribute to the innovation of new derivative products tailored to client flow needs
• Monitor and respond to real-time market events impacting equity derivatives
• Document research findings and present insights to senior stakeholders at JP Morgan Chase
• Support regulatory reporting and stress testing for equity derivatives portfolios

Required Qualifications

• Master's or PhD in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field
• 3-7 years of experience in quantitative research or modeling within equity derivatives or financial markets
• Strong proficiency in programming languages such as Python, C++, or MATLAB for financial modeling
• Deep understanding of equity derivatives flow products, including options, variance swaps, and exotic structures
• Experience with stochastic calculus, numerical methods, and risk-neutral pricing frameworks
• Ability to work in a fast-paced, high-stakes environment at a leading global financial institution

Preferred Qualifications

• Prior experience at a bulge-bracket investment bank like JP Morgan Chase
• Publications or contributions to academic/research papers in quantitative finance
• Familiarity with JPMorgan's proprietary trading systems or similar platforms
• CFA or FRM certification

Required Skills

• Advanced mathematical modeling and stochastic processes
• Proficiency in Python for data analysis and model development
• C++ programming for high-performance computing in trading systems
• Knowledge of equity derivatives pricing libraries like QuantLib
• Statistical analysis and machine learning techniques for financial data
• Risk management and Value-at-Risk (VaR) methodologies
• Strong analytical and problem-solving abilities
• Excellent communication skills for cross-functional collaboration
• Attention to detail in model validation and error handling
• Adaptability to evolving market conditions and regulatory changes
• Team-oriented mindset for working in agile development environments
• Proficiency in SQL for database querying in financial datasets
• Experience with Monte Carlo simulations and finite difference methods
• Time management skills in a deadline-driven trading floor setting

Benefits

• Competitive base salary and performance-based bonus structure
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development programs and tuition reimbursement for advanced certifications
• Employee stock purchase plan and access to financial wellness resources
• On-site fitness centers and wellness initiatives at JP Morgan Chase offices
• Global mobility opportunities within the firm's international network

JP Morgan Chase is an equal opportunity employer.