Senior Quantitative Model Analyst, Counterparty Credit Risk Modeling

US Bank

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Charlotte, NCChicago, ILMinneapolis, MNNew York, NY
Salary
$126,820–$149,200 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday
Closes
Oct 14, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $157k
This role $138k
$114k most similar roles pay here $201k

This role pays less than 64% of similar roles. Most pay $122,275–$192,287 — the shaded band above. At the midpoint, this role pays about $138k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 39 open roles on FindRole.

Listed pay typically runs $111,605–$131,300 across 34 roles with salary data.

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View all roles at US Bank

At a glance

TL;DR · Senior Quantitative Model Analyst, Counterparty Credit Risk Modeling

Senior Quantitative Model Analyst - Counterparty Credit Risk Modeling The Senior Quantitative Model Analyst - Counterparty Credit Risk Modeling joins the team to develop, enhance, and maintain counterparty exposure models supporting trading, prime brokerage, and securities financing businesses. This role involves researching and designing methodologies for measuring Potential Future Exposure (PFE) and Expected Exposure (EE), while performing model monitoring, backtesting, and sensitivity analysis at trade and portfolio levels. The candidate will build risk factor simulation frameworks and pricing models using Monte Carlo simulation and derivative valuation techniques. Key technical requirements include proficiency in Python or C++, along with deep expertise in stochastic processes, derivative pricing, and financial market products like interest rate and foreign exchange derivatives. The role addresses the critical business problem of managing counterparty credit risk within a regulatory framework, ensuring quantitative solutions meet internal audit and regulatory standards for various complex financial instruments.

What you'll do

  • Research, design, develop, test, and maintain counterparty exposure models for derivatives and securities financing transactions.
  • Develop and enhance methodologies for measuring Potential Future Exposure (PFE) and Expected Exposure (EE).
  • Maintain pricing models and risk factor simulation frameworks used in Monte Carlo exposure calculations.
  • Perform model monitoring, benchmarking, backtesting, and sensitivity analysis at the trade and portfolio levels.
  • Create comprehensive technical documentation regarding model methodology, assumptions, limitations, and performance results.
  • Present quantitative methodologies and risk analytics to both technical and non-technical stakeholders.
  • Support model reviews and validation activities for internal audit and regulatory examinations.

What we're looking for

  • Bachelor's degree in a quantitative field with experience, or a Master's with , or a PhD with .
  • Expertise in derivative pricing, stochastic simulation, and counterparty exposure modeling.
  • Proficiency in Monte Carlo simulation techniques and derivative valuation methodologies.
  • Strong programming skills in Python, C++, or similar languages for developing quantitative models and libraries (preferred).
  • Deep understanding of financial markets, including Prime Brokerage and Securities Financing Transactions (preferred).
  • Experience in quantitative modeling, research, derivatives analytics, or risk management (preferred).
  • Ability to communicate complex quantitative concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills with high attention to detail.

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