You’ll have the opportunity to work in a dynamic environment, engage closely with the Prime trading desk to understand desk pricing & analytics requirements, and drive the delivery of business impacting solutions in partnership with global QR Prime and Technology teams.

Job Summary:

As a Vice President in the QR Prime team, you’ll be creating and supporting derivatives pricing and risk management models to enable Prime trading desks to hedge portfolio risk. You’ll be developing statistical models for client risk and partner with PFS risk team to monitor and manage exposure in client portfolios. You’ll be developing machine learning-based models and analytics for client portfolios and help the desk manage balance sheet usage and liquidity cost. The modeling and analytics development will be performed in JPM’s Athena & Qlib platforms using Python & C++ programming languages. You’ll have the opportunity to work in a dynamic environment, engage closely with the Prime trading desk to understand desk pricing & analytics requirements, and drive the delivery of business impacting solutions in partnership with global QR Prime and Technology teams.

Job Responsibilities:

Develop statistical models and tools to support pricing and risk management of hedge fund client portfolios optimizing for revenue, balance sheet consumption, liquidity cost. Build ML Analytical models and tools to extract signals from Prime client positioning and trading data; analyze client profitability (ROE/ROA analytics), margin loans and liquidity consumption. Develop derivatives pricing and risk management models for Equity swaps, Index futures, Forwards and instruments with customized payoffs traded by Prime trading desk.  Work closely with NA Synthetics desk to enhance Synthetics Pricing platform which provides internalization-adjusted price quotes for client synthetic trades on indices, ETFs, custom baskets. Drive Analytics, Automation & Optimization (AAO) agenda for Prime desks by creating analytics to increase revenue, reduce cost, monitor/alert for risks; automating desk workflows. Design and implement software framework for data analytics in Athena/Python, delivering results through dashboards, Voila apps, email reports. Partner with control teams – Market Risk, VCG, MRGR – for ongoing model and risk governance. Engage tech partners to deploy the models to traders’ desktops. Collaborate with global QR Prime team to deliver solutions meeting global desk needs.

Required Qualifications, Capabilities and Skills:

Education: Master's/Ph.D in Financial Engineering, Operations Research, Statistics, Mathematics, Computer Science, or related field of study plus 3 years of experience in the job offered or in Quantitative Research, Quantitative Strategy, or related occupation. Programming: Experience in the following: Python, C++; machine learning packages including Sklearn and statsmodel. Databases:  SQL or KDB. Modeling: ML Classification, regression, clustering; Time series analysis & modeling; Statistical Inference; Stochastic calculus; Financial derivatives pricing; Monte