Quantitative Manager, Artificial Intelligence/Machine Learning

At U.S. Bank, were 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.

Were looking for a sharp AI/ML expert and experienced people manager whos 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. Banks Artificial Intelligence Models across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
As a Senior Quant Manager you will 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, model risk mitigation and remediation, building benchmark AI models, identify gaps and deficiencies in AI model development and monitoring process. In addition, you will be responsible for leading analysts to conduct R&D for AI/ML methodologies and their potential applications and use cases.
Deliverables include reviewing model development documentation, testing of advanced AI/ML and Gen AI models, developing technical guidance documents, training curriculum and white paper, and communicating model requirements and validation outcome to stakeholders within the Bank.
Basic Qualifications
- Bachelors degree (MA/MS/PhD strongly preferred) and eight or more years of relevant experience
- Four or more years of experience leading a quantitative modeling team
Preferred Skills/Experience
- Strong statistical modeling or computer science background and hands on model development or validation 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 and people management skills
- Excellent written and verbal communication skills
NOTE: This role offers a hybrid/flexible schedule, which means theres an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
NOTE: The role is posted as remote; however, candidates who are located near any one of our locations would be required to work on site at least three days per week.
If theres anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members whole selves and what may be needed to thrive in and outside work. Thats why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance

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• 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.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $149,515.00 - $175,900.00 - $193,490.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.