Risk Management Quantitative Research Senior Associate

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
8 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $178k
$134k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $142,425–$213,125.

Based on 239 similar postings.

Employer

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.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Risk Management Quantitative Research Senior Associate

As a Risk Management - Quantitative Research Senior Associate, you will join the Quantitative Research team to develop and maintain models that produce critical risk metrics for managing counterparty credit risk across a derivatives portfolio. You will design enhancements to the counterparty credit risk framework, conduct quantitative analysis using firm infrastructure to evaluate model performance, and manage the full model lifecycle from development through production deployment. Your daily work involves translating complex quantitative concepts into actionable insights, monitoring calculation framework performance, and producing thorough documentation for auditability. The role requires an advanced degree in a quantitative discipline, proficiency in Python, and experience in applied mathematics or quantitative finance. You will address challenges regarding stressed exposure methodologies and derivatives across multiple asset classes while collaborating with global partners to ensure model integrity and regulatory compliance.

What you'll do

  • Design and implement enhancements to the counterparty credit risk framework.
  • Conduct quantitative analysis to evaluate model performance and support methodological development.
  • Manage the full model lifecycle from initial development through validation and production deployment.
  • Translate complex quantitative concepts into actionable insights for business stakeholders.
  • Monitor calculation framework performance and contribute to governance processes to ensure model integrity.
  • Produce thorough documentation of modeling choices, theoretical frameworks, and testing results.

What we're looking for

  • Advanced degree (PhD, MSc, or equivalent) in Engineering, Mathematics, Physics, Computer Science, or a related quantitative discipline.
  • Formal training or certification on data science concepts and 2+ years of applied experience.
  • Proficiency in Python with the ability to write clean, efficient, and well-documented code.
  • Demonstrated experience in quantitative finance or applied mathematics to translate theoretical concepts into practical solutions.
  • Strong analytical and problem-solving skills for addressing complex and ambiguous challenges.
  • Excellent communication and collaboration skills to work across technical and non-technical teams globally.
  • Preferred experience in counterparty credit risk, including familiarity with stressed exposure or potential future exposure methodologies.
  • Preferred proficiency in C++ for quantitative or financial modeling applications.

More like this

Similar roles

Risk Management Quant Modelling Lead Vice President

JPMorgan Chase

Jersey City, NJ 49 days ago
AI Machine Learning LLM Python PyTorch TensorFlow XGBoost LightGBM Deep Learning Transformers Generative AI RAG Prompt Engineering Neural Networks Regression Statistics Model Risk Management Quant Modeling
6+ yrs exp

Senior Systematic Risk Manager

Balyasny Asset Management

New York, NY 78 days ago $250,000$300,000
Python C++ C# Quantitative Finance Statistical Arbitrage Equity Factor Models Machine Learning LLMs Market Microstructure Execution Algorithms Systematic Trading
10+ yrs exp

Quantitative Research Risk and Treasury Associate

JPMorgan Chase

New York, NY +2 39 days ago
Python C++ R MATLAB SQL Machine Learning AI Quantitative Modeling Financial Engineering Risk Management Asset & Liability Management Dimensionality Reduction back testing

Quantitative Research Markets Summer Internship Associate

JPMorgan Chase

New York, NY 38 days ago
Python C++ Machine Learning Data Science Quantitative Modeling Statistical Modeling Algorithmic Trading Financial Engineering Portfolio Optimization Risk Management Options Pricing Theory Alpha Research Data Analytics

Quantitative Research Markets Summer Internship Analyst

JPMorgan Chase

New York, NY 38 days ago
Python C++ Machine Learning Data Science Quantitative Modeling Algorithmic Trading Statistical Modeling Portfolio Optimization Financial Engineering Options Pricing Theory Risk Management Data Analytics