Quantitative Trading & Research Analyst, Equity Derivatives Exotics

JPMorgan Chase

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

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How this pay compares to similar roles

Similar $151k
$114k most similar roles pay here $187k

This listing doesn't post a salary. Most similar roles pay $121,200–$180,187.

Based on 239 similar postings.

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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 Analyst, Equity Derivatives Exotics

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The Quantitative Trading & Research - Equity Derivatives Exotics - Analyst joins the Equity Derivatives Exotics team to focus on exotic products. This role involves implementing analytics, optimization, and modeling for equity trading, with a specific focus on building robust trade booking, analytics, and model validation layers. The analyst will develop frameworks for derivative products using dependency-graph programming and Python, while utilizing C++ and Python hybrid programming to meet business requests. Key responsibilities include driving payoff innovation through machine learning, streamlining product reviews, and evaluating quantitative methodologies to monitor model risks. The role requires expertise in Monte-Carlo simulation, finite-difference PDE, and statistical analysis. Candidates must possess strong skills in C++, Python, and numerical packages while applying these tools to solve complex problems regarding derivative pricing, lifecycle management, and risk identification within the equity derivatives space.

Skills

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

What you'll do

  • Develop framework components for derivative product lifecycle and model validation using Python and dependency-graph programming.
  • Model derivative products using a C++ and Python hybrid programming approach to meet business requests.
  • Drive payoff innovation by applying machine learning techniques and the product design framework.
  • Streamline product reviews and provide clear documentation to facilitate formal model approvals.
  • Evaluate quantitative methodologies while identifying and monitoring risks associated with derivative valuation models.
  • Support trading activities by explaining model behavior and performing scenario analyses on portfolio risks.

What we're looking for

  • Master degree in a quantitative field from a top university.
  • 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.
  • Ability to communicate effectively with business stakeholders.
  • Prior experience in a front-office quantitative research role.
  • Experience or good knowledge in dependency-graph programming.
  • Knowledge of risk management frameworks and regulatory requirements (preferred).

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