Quantitative Research

Quantitative Research (QR) is a global team whose expertise ranges across various fields: Derivatives Modelling, Financial Engineering, Data Science, and Quantitative Development. We provide quantitative expertise and a diverse range of product offerings to clients. As part of the global QR Group, you'll work on unique analytics and mathematical models, transforming business practices through automation and quantitative methods, where JP Morgan is a dominant player.

Job Summary:
As an Associate within the QR Market team, you will mainly contribute to the FnO and OTC derivatives risk and margin agenda for QR Prime Financial Service as well as to the strategic agenda to transform our investment bank into a data-led business and encourage change using state-of-the-art machine learning techniques.

The QR Prime Financial Service (PFS) team is within Equity Quantitative Research and is part of the global Quantitative Research Group. Our mission is to provide quantitative expertise and contribute to delivering a wide product offering to our clients. We develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to help the PFS business. We leverage the JP Morgan Athena quant platform to provide pre- and post-trade and risk management capabilities for Cash Equity and FnO/OTC derivatives across all asset classes. We also develop our own analytics and mathematical models that add value to the business and help promote advanced electronic solutions to our clients worldwide. We work closely with our Technology and business partners to deliver our solutions in production.

Job Responsibilities:

• Develop and improve mathematical models for pricing and risk/margin measurement for multi-asset FnO/OTC derivatives. Support EOD and intraday risk/margin and PnL calculation.
• Support the desk and provide portfolio risk management solutions by explaining model behaviour, identifying major sources of risk in portfolios, carrying out scenario analyses, calibrating margin methodology, and developing and delivering quantitative tools.
• Develop and deliver analytics that help transform the business and contribute to the automation agenda.
• Partner with Technology and Product Development to deliver QR analytics to the business.
• Drive projects end-to-end, from brainstorming and prototyping to production delivery.
• Develop and deliver ML/AI models and end-to-end solutions.
• Contribute to EOD or intraday hedging activities and algorithm design.

Required Qualifications, Capabilities, and Skills

• You have an advanced degree (PhD, MSc, or equivalent) in Mathematics, Physics, or Computer Science.
• You have knowledge of FnO/OTC derivatives products, a good understanding of risk/PnL and margin methodology, and demonstrate quantitative and problem-solving skills.
• You have strong coding skills (primarily Python or C++), proficiency in code design, and can navigate large libraries and quickly debug complex logic.
• You have previous experience in a trading desk support position, either as a quant or a developer.
• You have excellent communication skills, both verbal and written, can engage and influence partners and business/non-tech stakeholders, and are enthusiastic about knowledge sharing and collaboration.
• You are a strong team player who consistently delivers high-quality results on time, aligned with the team's objectives and priorities.
• You are detail-oriented, can work on ad hoc requests, and can sometimes work under pressure.

Preferred Qualifications, Capabilities, and Skills

• You have knowledge of curve building, volatility surface calibrations, etc.
• You have knowledge of market risk, time-series analysis, VaR, and stress testing.
• You demonstrate knowledge of Prime and Clearing Margin Methodology.
• You have knowledge of ML algorithms and experience in delivering AI models and end-to-end solutions.
• You have knowledge of optimization and hedging algorithms.