AI Model Specialist
| Company | U.S. Bank |
|---|---|
| Location | San Francisco, CA, USA, Chicago, IL, USA, Charlotte, NC, USA, New York, NY, USA, Minneapolis, MN, USA, Irving, TX, USA, Atlanta, GA, USA |
| Salary | $119765 – $140900 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Expert or higher |
Requirements
- Bachelor’s degree, or equivalent work experience
- 10 or more years of applicable experience
- Applicable professional certifications
Responsibilities
- Review and maintain business line model inventories ensuring appropriate controls and monitoring are in place for risk mitigation.
- Oversee the creation, implementation, and maintenance of an effective AI risk management framework.
- Consult on critical business processes and controls within the AI process hierarchy.
- Assist with compliance projects and activities related to federal, state, and local regulations.
- Challenge modeling decisions through independent assessment and working with model owners or developers to address concerns
- Review and assess model risks and controls as well as provide recommendation for remediating actions
- Meet with internal business teams, technology teams, and vendors, to support collection and assessment of documentation and control evidence
- Contribute to and coordinate with functional partners to ensure a holistic view of AI risks
- Assess the mathematical, statistical, and conceptual soundness of each model, effectively challenging model assumptions, inputs, methodologies, and outputs; develop benchmarking models as needed, from a 1st Line of Defense perspective
- Quantitatively assess fairness for select AI models through independent analyses
- Document the results of performed review and testing, drawing attention to areas of concern and uncertainty, and provide specific remediations
- Partner with AI product, design, operations, and technology teams to deliver impactful results.
- Identify existing and emerging risks in collaboration with business and risk partners.
- Estimation Method Questionnaire and Assessment: Support the completion of estimation method questionnaires and assessments to validate model assumptions, methodologies, and performance.
- Liaison: Act as a liaison between the business and Model Risk Management teams, ensuring clear communication and alignment on model-related issues and requirements.
Preferred Qualifications
- Graduate degree in a quantitative field (e.g., mathematics, statistics, economics, physics, or computer science)
- Expert knowledge of Risk/Compliance/Audit competencies.
- Strong understanding of AI/ML product development processes and model risk management.
- Excellent communication skills for technical discussions and business presentations.
- Advanced knowledge of applicable AI/ML laws and emerging risks.
- More than 10 years of experience in Financial Services Risk Management and/or Compliance, particularly in Digital, AI/ML environments.
- Agile thinking with the ability to adapt to changing risk and control expectations.
- Strong collaboration skills with a history of successful project outcomes.
- Demonstrated ability to work as part of a team and collaborate with members of other departments and lines of business
- Knowledge of Statistical, Machine Learning, and Deep Learning techniques, and benefits and drawbacks to each
- Experience with a variety of model development and deployment platforms