Quantitative Analyst - Artificial Intelligence/Machine Learning
Listed on 2026-01-01
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IT/Tech
Machine Learning/ ML Engineer -
Finance & Banking
Quantitative Analyst - Artificial Intelligence/Machine Learning
Join to apply for the Quantitative Analyst - Artificial Intelligence/Machine Learning role at U.S. Bank
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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 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 advanced AI/ML and Generative AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcomes to stakeholders within the Bank.
- Bachelor’s degree in a quantitative field required with at least 5 years of relevant experience.
- MA/MS in a quantitative field and 3 or more years of related experience.
- PhD in a quantitative field and less than 2 years of related 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 Num Py, Pandas, and scikit‑learn.
- Hands‑on experience with deep learning or LLM software frameworks such as PyTorch, Tensor Flow/Keras, MXNet, Lang Chain and Llama Index are strongly preferred.
- Research experience and publications on AI or Gen AI are preferred.
- Experience in the 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.
This role requires working from a U.S. Bank location three (3) or more days per week.
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
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.
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