> Markdown version of [/jobs/ext/4705991-quantitative-analyst-artificial-intelligence-machine-learning](https://www.wearedevelopers.com/jobs/ext/4705991-quantitative-analyst-artificial-intelligence-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Quantitative Analyst - Artificial Intelligence/Machine Learning

- **Company:** U.S. Bank, National Association
- **Location:** Minneapolis, MN, United States
- **Experience:** Experienced
- **Salary:** $105,400 - $124,000
- **Contract:** Permanent contract
- **Skills:** Mxnet, Artificial Intelligence, Computer Vision, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Generic Buffer Management, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Random Forest, Deep Learning, Llamaindex, Generative AI, Keras, Agentic-AI, Pandas, Scikit Learn, Information Technology, Xgboost, Recurrent Neural Networks
- **Published:** November 13, 2026
- **Apply:** https://usbank.wd1.myworkdayjobs.com/US_Bank_Careers/job/Minneapolis-MN/Quantitative-Analyst---Artificial-Intelligence-Machine-Learning_2026-0035343

## About the Role

Bachelor's degree in a quantitative field required with at least 5 years of relevant experience

OR

 - MA/MS in a quantitative field, and 3 or more years of related experience
OR

 - PhD in a quantitative field, and less than 2 years of related experience

Preferred Skills/Experience

 - Strong statistical modeling or computer science background and hands on model development skills

 - Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM.

 - Experience with building complex deep learning architectures such as MLPs, RNNs, CNNs and Generative AI frameworks such as RAG and Agentic AI.

 - Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn.

 - Hands on experience with deep learning or LLM software frameworks such as PyTorch, Tensorflow/Keras, MXNet, LangChain and Llamaindex are strongly preferred

 - Research experience and publications on AI or Gen AI are preferred

 - Experience in financial industry is preferred but not required

 - Advanced understanding of Model Risk Management and OCC SR 11-7 is a plus

 - Demonstrated independence, teamwork and leadership skills
 - Strong project management skills
 - Excellent written and verbal communication skills

## Description

We're looking for a sharp quantitative analyst who's adept at advanced AI/ML algorithms to join our AI/ML Validation Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank's Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.

As a Quant you will develop benchmark AI/ML models, perform activities related to AI/ML model development and model review, including model development, algorithm selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation. In addition, you will be responsible for conducting R&D for various AI/ML methodologies and their potential applications and use cases.

Deliverables include reviewing model development documentation, independently testing of advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.