Quantitative Trading & Research Associate, Equity Derivatives Exotics

JPMorgan Chase

Confirmed live 2 days ago High trust

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Work type
On-site
Location
New York, NY
Posted
21 days ago
Freshness
Confirmed live 2 days ago
Nearby
99+ roles within 25 mi

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Similar $163k
$121k most similar roles pay here $205k

This listing doesn't post a salary. Most similar roles pay $129,462–$197,337.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Quantitative Trading & Research Associate, Equity Derivatives Exotics

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The Quantitative Trading & Research – Equity Derivatives Exotics - Associate joins the QTR Equity Derivatives team to focus on exotic products. This role involves implementing analytics, optimization, and modeling for equity exotic trading with a specific focus on payoff development, risk management, and lifecycle modeling. The successful candidate will build a systematic framework for derivative products using dependency-graph programming and Python, while also utilizing C++ and Python hybrid programming to meet business requests. Key responsibilities include driving payoff innovation through machine learning techniques, streamlining product reviews, and monitoring model risks associated with valuation models. To succeed, the individual must possess expertise in Monte-Carlo simulation, finite-difference PDE, and statistical analysis. The role addresses complex problems in derivative pricing and lifecycle management while providing scenario analyses to support trading activities and ensure robust risk control for exotic products.

Skills

Python C++ Machine Learning Monte-Carlo Simulation Finite-Difference PDE Dependency-Graph Programming Statistical Analysis Risk Management Numerical Packages Equity Derivatives Model Validation

What you'll do

  • Develop framework components for derivative products using Python and dependency-graph programming.
  • Model derivative products using a C++ and Python hybrid programming approach.
  • Drive payoff innovation through the product design framework and machine learning techniques.
  • Streamline product reviews and provide clear documentation to facilitate model approvals.
  • Evaluate quantitative methodologies while identifying and monitoring associated model risks.
  • Support trading activities by explaining model behavior and performing scenario analyses.
  • Identify and monitor major sources of risk within trading portfolios.

What we're looking for

  • Master or PhD degree in a quantitative field from a top university.
  • Up to 3 years of experience in derivatives quantitative research.
  • Strong programming skills in C++, Python, and numerical packages.
  • Experience with statistical analysis and machine learning.
  • Experience with derivatives pricing models and equity derivatives products.
  • Solid understanding of Monte-Carlo simulation and finite-difference PDE in derivative pricing.
  • Prior experience in a front-office quantitative research role.
  • Knowledge of risk management frameworks and regulatory requirements (preferred).

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