Quantitative Trading & Research - Markets Capital - Associate

JPMorgan Chase & Co.•New York, NY

4h•$150,000 - $200,000

About The Position

As an Associate on the Quantitative Trading & Research Markets Capital (QTRMC) team, you will be working on building financial engineering, data analytics, statistical modeling and portfolio management. You will partner with traders, marketers and risk managers across all products and regions, contributing 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.

Requirements

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

Nice To Haves

Experience in securitized products trading or modeling
Experience in VaR/Stress/FRTB

Responsibilities

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.