This role pays less than
67%
of similar roles. Most pay
$123,250–$202,809
— the shaded band above.
At the midpoint, this role pays about
$130k
versus about
$163k
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.
Quantitative Analyst, Artificial Intelligence/Machine Learning joins the AI/ML Validation Center of Excellence in Model Risk Management. This individual contributor role involves providing oversight for artificial intelligence models across marketing, fraud, credit risk, and bank operations. You will develop benchmark models, perform algorithm selection, conduct performance evaluations, and manage model risk mitigation. Responsibilities include R&D for new methodologies, testing Generative AI and Agentic AI systems, and creating technical guidance and training materials. The role requires expertise in Python, NumPy, Pandas, scikit-learn, PyTorch, TensorFlow/Keras, and Hugging Face Transformers. You will work with advanced architectures like RNNs, CNNs, and LLMs using tools such as LangChain, LangGraph, and various cloud platforms including AWS Bedrock and Google Vertex AI. The role addresses the technical challenge of validating complex machine learning models within a regulated financial institution environment.
Transformer
PyTorch
JAX
Machine Learning
Distributed Training
Quantitative Trading
Data Pipelines
Signal Research
Market Microstructure
Portfolio Construction
Risk Management
Benchmarking