Quantitative Trading and Research – Equity Derivatives Exotics - Associate

Job Summary

The Quantitative Trading and Research (QTR) Equity Derivatives team is looking for a junior quant to focus on exotic products. As an Associate for the Quantitative Equity Derivatives Exotics team, you will use quantitative techniques, including machine learning, to deliver end-to-end solutions for the business. This includes introducing a strategic framework to strengthen risk and P&L control and facilitate lifecycle management; developing derivative pricing and lifecycle models; and identifying and monitoring associated model risks.

Responsibilities

• Develop a scalable risk-management and lifecycle-modeling framework capable of handling the full range of products across all regions globally.
• Model derivative products using C++ and Python hybrid programming to meet business requests.
• Drive payoff innovation using the product design framework and machine learning techniques.
• Streamline product review under the product design framework and provide clear model documentation to facilitate model approvals.
• Evaluate quantitative methodologies, including identifying and monitoring model risks associated with derivative valuation models.
• Support trading activities by explaining model behavior, identifying major sources of risk in portfolios, and carrying out scenario analyses.

Required Qualifications, Capabilities, and Skills

• Master’s or PhD degree in a quantitative field from a top university.
• 1–3 years of experience in derivatives quantitative research.
• Strong programming skills in C++ and Python, as well as numerical packages.
• Experience with statistical analysis and machine learning.
• Experience with derivatives pricing models and equity derivatives products.
• Solid understanding of the application of Monte Carlo simulation and finite-difference PDE in derivative pricing.
• Ability to communicate effectively with business stakeholders.
• Prior experience in a front-office quantitative research role.

Preferred Qualifications, Capabilities, and Skills

• Knowledge of risk management frameworks and regulatory requirements.