at J.P. Morgan
Bulge Bracket Investment BanksPosted 7 days ago
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**Associate - Quantitative Trading & Research, Markets Capital** - Develop, backtest, and optimize financial models, contributing to risk management (VaR/Stress/FRTB) and capital adequacy modeling - Collaborate cross-functionally to enhance risk analytics platform, improve algorithms, and implement high-performance computing solutions - Evaluate and monitor quantitative models, identify risks, and troubleshoot limitations - Design software frameworks for delivering analytics, essential for inventory and portfolio optimization, and market making - Requirements: Advanced degree in quantitative discipline, strong Python and C++ skills, data analytics experience, and broad asset class knowledge - Preferred: Securitized products trading/modeling and VaR/Stress/FRTB experience
- Compensation
- Not specified
- City
- New York City
- Country
- United States
Currency: Not specified
Full Job Description
Location: New York, NY, United States
Job Description
As an Associate on the Quantitative Trading & Research Markets Capital (QTRMC) team, you will be working on in building financial engineering, data analytics, statistical modeling and portfolio management and partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls. The QTRMC team's mission is to build the models and infrastructure used for the risk management of Market Risk such as of VaR/Stress/FRTB. We also work closely with Front Office and Market Risk functions to develop tools and utilities for model development and risk management purposes.
Job Responsibility
- Implementation of the next generation of risk analytics platform and assess model performance, perform back testing analysis and P&L attribution;
- Improve performance and scalability of analytics algorithms and develop and enhance mathematical models for VaR/Stress/FRTB;
- Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk;
- Design efficient numerical algorithms and implementing high performance computing solutions;
- Design and develop software frameworks for analytics and their delivery to systems and applications.
Required qualifications, capabilities, and skills
- Advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, Computer Science, Financial Engineering etc.
- Strong Python and/or C++ coding skills for model development
- Data analytics using open-source Python packages (pandas / NumPy / scikit-learn)Basic understanding of
- product knowledge across a range of asset classes Credit, Rates, Equities, Commodities, FX & SPG;
- Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience
Preferred qualifications, capabilities, and skills
- Experience in securitized products trading or modeling
- Experience in VaR/Stress/FRTB
The Quantitative Trading & Research Markets Capital team builds the models and infrastructure used for the risk management.
