Quantitative Trading & Research - Equity Derivatives Exotics - Analyst

About the role

As an Analyst for the Equity Derivatives Exotics QTR team, you will make extensive use of quantitative techniques, including machine learning, to deliver end‑to‑end solutions for the business. This includes introducing a systematic framework to develop derivative products, strengthen risk and P&L control and facilitate lifecycle management, developing derivative pricing and lifecycle models, as well as identifying and monitoring associated model risks. It is particularly important for this role that you are a disciplined developer, adhering to the highest standard of development, testing, deployment life cycle, working with the broader QTR team and with technology.

Responsibilities

• Develop a framework and key components to develop derivative products including life cycling and model validation, using dependency‑graph programming and Python language.
• Model derivative products using C++‑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

• Master’s degree in a quantitative field from a top university.
• Strong programming skills in C++, Python and 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.
• Experience or good knowledge in dependency‑graph programming.

Preferred Qualifications

• Knowledge of risk management frameworks and regulatory requirements.

About JPMorgan Chase & Co.

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

Benefits

We offer a competitive total rewards package, including comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Pay

Base salary is determined based on role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.