Quantitative Analyst - Artificial Intelligence/Machine Learning

U.S. Bank • Minneapolis, MN

11d • Onsite

About The Position

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. Job Description We’re looking for a sharp quantitative analyst who is 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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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
• conducting R&D for various AI/ML methodologies and their potential applications and use cases
• reviewing model development documentation
• independently testing of advanced AI/ML and Generative AI models
• developing technical guidance documents, training curriculum and white paper
• communicating 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: Mid Level
• Number of Employees: 5,001-10,000 employees