Quantitative Modeler Manager, AML

US Bank

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Charlotte, NCChicago, ILKnoxville, TNColumbus, OHMinneapolis, MN
Salary
$126,820–$149,200 / yr
Posted
30 days ago
Freshness
Confirmed live 2 days ago
Closes
Sep 20, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $214k
This role $138k
$111k most similar roles pay here $270k

This role pays less than 93% of similar roles. Most pay $172,400–$254,750 — the shaded band above. At the midpoint, this role pays about $138k versus about $214k 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 30 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 29 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Quantitative Modeler Manager, AML

Quantitative Modeler Manager - AML works within the Financial Intelligence Unit to support the development, production, and maintenance of Anti-Money Laundering transaction monitoring systems. This role involves managing the full model-development lifecycle, including data exploration, pilot testing, and moving models into production while ensuring compliance with Model Risk Governance standards. The individual will build and enhance internal portfolios using SAS, SQL, and Python to create sophisticated anomaly detection systems. Key responsibilities include performing research based on performance metrics, conducting Below the Line testing, and defending modeling methodologies to internal and external examiners. The role requires expertise in machine learning approaches, regression techniques, time series analysis, and various statistical models. Candidates must possess strong communication skills to explain complex technical concepts to stakeholders, while navigating regulatory rules and risk management factors within the financial crimes compliance domain.

What you'll do

  • Develop, produce, and maintain Anti-Money Laundering (AML) transaction monitoring systems using SAS, SQL, and Python.
  • Drive the full model development lifecycle from initial data exploration to pilot testing and production.
  • Create robust technical documentation that meets specific Model Risk Governance standards.
  • Perform ongoing model monitoring through research, analysis of performance metrics, and Below the Line testing.
  • Defend modeling methodologies and design decisions to internal audit teams and external regulators.
  • Translate complex technical concepts into clear communications for senior leadership and various business partners.
  • Advance the AML program by implementing sophisticated machine learning models for anomaly detection.

What we're looking for

  • Bachelor's degree in a quantitative field with 10 or more years of relevant experience.
  • Master's or Doctorate in a quantitative field with 6 or related experience, respectively.
  • Experience developing BSA/AML monitoring applications and associated professional documentation.
  • Expertise in true machine learning modeling approaches and advanced data compilation.
  • Proficiency in SAS, Python, or similar packages for statistical modeling and programming.
  • Knowledge of regression techniques, time series analysis, and various model validation methodologies.
  • Strong understanding of regulatory rules, risk management approaches, and financial crime compliance.
  • Excellent communication skills to explain complex technical concepts to internal and external stakeholders.

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