The QR Global Clearing team, a part of the global Quantitative Research Group, is dedicated to providing quantitative expertise and a diverse product offering to our clients. We develop advanced mathematical models and methodologies, and leverage JP Morgan Athena quant platform for pre/post trade and risk management of FnO/OTC derivatives across all asset classes. Our team also creates unique analytics and models to enhance business value and promote advanced electronic solutions globally, collaborating closely with our Technology and business partners for production delivery.

Job Summary:

As a Global Clearing Vice President within Equity Quantitative Research Group, you will be  contributing to the FnO and OTC derivatives risk and margin agenda for QR Global Clearing. Additionally, you’ll contribute 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.

Job Responsibilities:

Lead a team and drive Global Clearing risk and margin agenda and build analytics for portfolio risk management.  Drive projects end-to-end, from brainstorming and prototyping to production delivery. Partner with other Quant, Technology and Prod Dev to deliver QR analytics to the business. Develop/improve mathematical models for pricing, risk and margin measurement for multi-asset FnO / OTC derivatives. Support intraday and EOD pricing, risk/margin and PnL calculation. Support the desk by explaining model behavior, identifying major sources of risk in portfolios, carrying out scenario analyses, developing and delivering quantitative tools. Develop and deliver ML/AI models and end-to-end solutions. Contribute to EOD or intraday hedging activities and algo design. 

Required qualifications, capabilities, and skills:

Advanced degree (PhD, MSc or equivalent) in Mathematics, Physics or Computer Science. You have experience or can demonstrate relevant skills of leading a Quant team to make significant impact. You have knowledge of the FnO/OTC derivatives products and good understanding of risk/PnL and Margin methodology, Market Risk and time-series analysis, 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 logics. You have a previous experience in a trading desk support position as a quant. 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 detail-oriented and can work on adhoc requests and can sometimes work under pressure.

Preferred qualifications, capabilities, and skills:

Knowledge of curve building, volatility surface calibrations, etc Knowledge of VaR and Stress Knowledge of ML algorithms and experience in delivering AI models / end-to-end solutions Knowledge of Optimization and hedging algorithms