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
Available Locations Minneapolis, MN or Charlotte, NC
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.
We're seeking a highly skilled and motivated AI/ML Quantitative Analyst who's adept at advanced Generative AI development and implementations to join our AI/ML Center of Excellence in Model Risk Management. The team plays a critical role in providing oversight to U.S. Bank's Artificial Intelligence Models and tools across various business areas, such as Marketing, Fraud, Credit Risk and Bank Operations.
Responsibilities
Validate AI/ML models with a focus on Generative AI, ensuring they meet model risk governance requirements in conceptual soundness, development data/process, performance testing, risk guardrails, monitoring, and implementation. Conduct R&D in NLP, computer vision and particularly Generative AI and their potential applications and use cases Provide validation expertise and consulting services related to AI/ML model development and model review, including best practices on algorithm development and selection, model risk mitigation and remediation, building benchmark AI models, identify gaps and deficiencies in AI model development and monitoring process, etc. Develop technical guidance documents, playbook and white paper on AI/ML.
- Bachelor's degree in a quantitative field, and five or more years of relevant experience
Basic Qualifications
Preferred Skills/Experience
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Considerable knowledge of various machine learning algorithms and their applications, including Random Forest, GBM, XGBoost, deep learning, NLP, computer vision, multi-modality
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Proficiency in Python, and experience with deep learning frameworks such as PyTorch, Tensorflow/Keras, MXNet
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Experience with complex deep neural networks and transformer architectures.
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Proven work or research experience in a university or industry labs, with primary emphasis on AI research. Experience and authored research publications in LLM or Computer Vision model training, fine-tuning, reinforcement learning, Gen AI application development/deployment are strongly preferred.
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Demonstrated independence, teamwork and excellent project management and communication skills
INDMO
If there's 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
- 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
EEO is the Law
U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal
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