Senior Quant, Artificial Intelligence​/Machine Learning

Overview

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.

Try new things, learn new skills and discover what you excel at—all from Day One.

We’re looking for a sharp individual contributor who’s adept at advanced AI/ML algorithms and their applications in financial institutions to join our AI/ML Validation Center of Excellence in Model Risk Management. The team provides oversight to U.S. Bank’s Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations. As a Senior Quant you will develop benchmark AI/ML models, provide validation expertise and consulting services related to AI/ML model development and model review, including best practices on algorithm development and selection, performance evaluation, implementation, monitoring, model risk mitigation and remediation.

You will also conduct R&D for various AI/ML methodologies and their potential applications and use cases. Deliverables include reviewing model development documentation, independently testing advanced AI/ML and Generative AI & Agentic AI models, developing technical guidance documents, training curriculum and white papers, and communicating model requirements and validation outcomes to stakeholders within the Bank.

• Develop benchmark AI/ML models and provide validation expertise for model risk management.
• Review model development documentation and independently test advanced AI/ML, Generative AI, and Agentic AI models.
• Provide consulting on algorithm development, performance evaluation, implementation, monitoring, and remediation to stakeholders.
• Create technical guidance documents, training curriculum, and white papers; communicate validation outcomes to stakeholders within the Bank.
• Conduct research and development on various AI/ML methodologies and potential applications and use cases.

• Bachelor’s degree in a quantitative field with 10+ years of relevant experience, or
• MA/MS in a quantitative field with 6+ years of related experience, or
• PhD in a quantitative field with 5+ years of related experience.

• Strong statistical modeling or computer science background with hands-on model development or validation experience.
• Programming skills using Python packages such as Num Py, Pandas, and scikit-learn.
• Knowledge of machine learning algorithms and applications (Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, LLM).
• Experience designing, developing, and deploying deep learning architectures (MLPs, RNNs, CNNs) and other frameworks for AI/ML applications.
• Expertise in Agentic AI architectures and orchestration patterns (function calling, MCP, SKILLs, A2A, context engineering, harness engineering, loop engineering, etc.).
• Experience building, deploying, and evaluating GenAI and Agentic AI solutions (RAG, multi-agent systems, tool-augmented workflows) with advanced evaluation techniques.
• Familiarity with modern AI development and evaluation ecosystems (PyTorch, Tensor Flow/Keras, Hugging Face, Lang Chain, Lang Graph, OpenAI tools) and LLM evaluation frameworks.
• Experience with cloud-based AI platforms (AWS Bedrock, Azure AI, Google Vertex AI), vector databases, and model serving/inference.
• Research publications in AI/Gen AI preferred; financial industry experience preferred but not required.
• Understanding of Model Risk Management and OCC SR 26-2 is a plus; strong project management and communication skills; demonstrated independence and teamwork.

Location expectations:
This role requires working from a U.S. Bank location three (3) or more days per week. Benefits include healthcare, life insurance, disability coverage, 401(k) and employer-funded retirement plan, paid vacation, paid holidays, adoption assistance, sick leave, and other benefits described by employment status.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify participation is required in facilities located in the United States and certain territories.

The posted pay range is $ - $ and may vary based on location. In addition to salary, U.S. Bank offers a comprehensive benefits package and incentive programs.

Posting may be closed earlier due to high volume of applicants. All other policies and procedures apply.