AI Model Specialist

Irving, TX, United States

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.

Job Description

About the position

As a Business Risk Portfolio Manager enabling the AI Center of Excellence (CoE) at U.S. Bank, you will collaborate with various teams to manage risks associated with AI products and ensure effective risk management frameworks are in place. This role focuses on identifying and mitigating risks within assigned portfolios while enhancing customer experiences and operational effectiveness. The position requires a strong background in model risk management, particularly involving AI/ML, and involves working closely with senior leaders and compliance teams to oversee the implementation of risk controls and processes.

This position will contribute to managing these risks mainly with respect to Artificial Intelligence and Machine Learning models. These models are those used across the Enterprise in functions ranging from pricing to business operations including internally developed or purchased from third parties. The candidate will gain a broad exposure to a wide range of modeling techniques, product lines, functions, and businesses.

The ideal candidate will have demonstrated strong quantitative skills allowing them to challenge and develop models, mainly those using Machine Learning or other advanced techniques utilized in AI. The successful candidate will be motivated to adopt new technologies and be able to work in a fast-paced and changing environment. The position will require collaboration with key stakeholders across the bank

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.

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

  • 10 or more years of applicable experience

  •  Applicable professional certifications

Preferred Skills/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

**The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.**

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. That's 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

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: $119,765.00 - $140,900.00

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.

Posting may be closed earlier due to high volume of applicants.

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Category: Deep Learning Jobs

Tags: Agile Computer Science Deep Learning Economics Excel Machine Learning Mathematics ML models Physics Security Statistics Testing

Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave

Region: North America
Country: United States

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