Quantitative Trading & Research - Markets Capital - Associate

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

Quantitative trading and research role focused on building financial engineering, data analytics, statistical modeling, and portfolio management tools for market risk management (VaR/Stress/FRTB). Responsibilities include implementing risk analytics platforms, improving algorithms, developing mathematical models, assessing model risk, designing numerical algorithms, and developing software frameworks.

What you'd actually do

  1. Implementation of the next generation of risk analytics platform and assess model performance, perform back testing analysis and P&L attribution;
  2. Improve performance and scalability of analytics algorithms and develop and enhance mathematical models for VaR/Stress/FRTB;
  3. Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk;
  4. Design efficient numerical algorithms and implementing high performance computing solutions;
  5. Design and develop software frameworks for analytics and their delivery to systems and applications.

Skills

Required

  • 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 have

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