Senior Quant, Artificial Intelligence/Machine Learning

U.S. Bank • Minneapolis, MN

1d • $133,365 - $156,900 • Hybrid

About The Position

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 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 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. 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 & Agentic AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.

Requirements

• Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience OR MA/MS in a quantitative field, and six or more years of related experience OR PhD in a quantitative field, and five or more years of related experience

Nice To Haves

• Strong statistical modeling or computer science background and hands on model development or validation skills
• Strong programming skills using Python packages such as Numpy, Pandas, and scikit-learn
• Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, and LLM
• Hands-on experience designing, developing, and deploying advanced deep learning architectures, including MLPs, RNNs, CNNs, and other state-of-the-art neural network frameworks for a wide range of AI and machine learning applications
• Deep expertise in advanced Agentic AI architectures and orchestration patterns, including function calling, MCP, SKILLs, A2A, context engineering, harness engineering, loop engineering, and other emerging frameworks for building scalable, multi-agent AI systems
• Strong expertise in building, deploying, and evaluating GenAI and Agentic AI solutions, including RAG, multi-agent systems, tool-augmented workflows, and advanced evaluation techniques such as adversarial testing, semantic similarity analysis, retrieval assessment, and LLM-as-a-Judge methodologies
• Hands-on experience with modern AI development, deployment, and evaluation ecosystems, including PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, AI-assisted development platforms such as Claude Code and GitHub Copilot, and LLM evaluation frameworks including DeepEval, LlamaIndex, Ragas, and other comparable tools
• Familiarity with cloud-based AI platforms and services, including AWS Bedrock, Azure AI, Microsoft Copilot, Google Vertex AI, vector databases, and model serving/inference platforms
• 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 26-2 is a plus
• Demonstrated independence, teamwork and leadership skills
• Strong project management skills
• Excellent written and verbal communication skills

Responsibilities

• Develop benchmark AI/ML models
• Provide validation expertise and consulting services related to AI/ML model development and model review
• Conduct R&D for various AI/ML methodologies and their potential applications and use cases
• Review model development documentation
• Independently test advanced AI/ML and Generative AI & Agentic AI models
• Develop technical guidance documents, training curriculum and white paper
• Communicate model requirements and validation outcome to stakeholders within the Bank

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Senior