The Quantitative Research (QR) Equity Derivatives team is looking for a junior to mid-level quant to focus on exotic products. The objective is to drive and implement analytics, optimization and modeling for Equity Exotic trading.

Job Summary

As the Vice President on the Quantitative Equity Derivatives Exotics team, you will leverage quantitative techniques, including machine learning, to provide comprehensive solutions for the business. Your responsibilities will include developing derivative pricing models, creating data hedging strategies, identifying and monitoring model risks, and contributing to the innovation of derivative payoffs.

Job responsibilities

• Develop mathematical models for pricing and risk management of derivative securities within a quantitative library using C++ and Python programming languages.
• Evaluate quantitative methodologies including identifying and monitoring model risks associated with derivative valuation models.
• Build data-driven hedging strategies for Equity Derivative products
• Implement data driven and AI based Equity Exotic tools including pricing, hedging, and backtesting.
• Support trading activities by explaining model behavior, identifying major sources of risk in portfolios and carrying out scenario analyses.
• Collaborate closely with Structuring team on payoff innovation.
• Provide clear model documentation and work closely with the model review group to facilitate model approvals.

Required qualifications, capabilities, and skills:

• Advanced degree in a quantitative field from a top university.
• 3+ years of experience in derivatives quantitative research
• Solid understanding of stochastic calculus, probability theory, and numerical methods.
• Strong programming skills in C++, Python and numerical packages.
• Experience with statistical analysis and machine learning.
• Deep understanding of derivatives pricing models and experience with equity derivatives products.
• Ability to communicate effectively with trading and structuring

Preferred qualifications, capabilities, and skills:

• Prior experience in a front-office quantitative research role.
• Knowledge of risk management frameworks and regulatory requirements.