This position will report to the Fair and Responsible Banking Analytics Manager and supports the U.S. Bancorp’s Company’s Fair and Responsible Banking Program Policy (“Policy”) by performing discrimination risk analytics testing and monitoring activities covering a wide range of products, services, and focal points applicable to the Company. 

This position will be responsible for the implementation and maintenance of an effective risk management framework under the guidance of the management and requires an understanding of the interaction among Fair and Responsible Banking risks, Model Risk Management requirements, and other banking functions. They will support the design, development and maintenance of statistical models, statistical analysis, and incorporating business policies, procedures, and systems knowledge to ensure robust and comprehensive analytics. They will also collaborate with the Fair and Responsible Banking stakeholders of various levels within the organization, including Corporate Compliance, Model Risk Management, Audit, Legal, and Business Line personnel, to help ensure the effective performance of the Policy and related programs.  

We are looking for candidates with the proven ability to work and thrive in a rapid-paced, deadline-driven, and collaborative environment; who have solid project management and organizational skills; and who have the drive to continually meet new challenges. The successful candidate is expected to drive effective and efficient analytics results, communicate concisely to differing audiences, and ensure high-quality written reporting and work output. 

ESSENTIAL FUNCTIONS
1.    Serve as lead analyst and perform robust statistical modeling, data mining, and data analysis across a variety of lending products to support high-priority Fair and Responsible Banking initiatives. 
2.    Design, develop, test, monitor, and support a variety of statistical methodologies using SAS programming in alignment with team-driven and industry-driven best practices. Ensure testing procedures and documentation are robust, updated, and relevant to the objective of the analytics.
3.    Interpret analysis results and communicate results concisely to various levels of management within the organization, including both technical and non-technical audiences.
4.    Create analytical reports summarizing fair and responsible banking risks and presents results for review by internal and certain external (regulatory staff) audiences. Ensure documented interpretations and conclusions are appropriate.
5.    Maintain appropriate levels of technical documentation to support each initiative, ensuring quantitative methodology to assess fair and responsible banking risk is consistent with regulatory and industry expectations. Collaborate with other analysts, to support and prepare materials related to Model Risk Management monitoring and validation activities. 
6.    Support and prepare materials related to examination, supervisory, enforcement, or internal audit/review requests.
7.    Provide timely risk escalation and awareness items to management and other stakeholders as appropriate.
8.    Identify and engage with the team in continuous improvement activities.

BASIC QUALIFICATIONS
•    Bachelor's or advanced degree, or equivalent work experience
•    Typically more than 10 years of applicable experience

PREFERRED SKILLS/EXPERIENCE
•    Statistical modeling and fair lending model development expertise (including both linear and logistic regression techniques, non-regression statistical testing methodologies, and artificial intelligence/machine learning techniques).
•    Extensive programming expertise (experience with SAS required; SAS certification, SQL, or other programming languages a plus).
•    Experienced and knowledgeable regarding model best practices (knowledge of Model Risk Management concepts and expectations a plus).
•    At least 8 years of experience in applicable laws, regulations, fair lending file review protocols, financial services, and using large and complex datasets.
•    Knowledge of Regulation B, Fair Housing Act, discrimination risk concepts, fair lending examination procedures, and prohibitions against unfair, deceptive, or abusive acts or practices (UDAAP). 
•    Excellent project management and strategic skills. Must be detail oriented with a proven ability to manage a dynamic workload with multiple projects and changing priorities. 
•    Great presentation skills with the ability to communicate and collaborate effectively with a variety end users and management.
•    Degree in a quantitative field (Mathematics, Statistics, Economics, etc.).
•    Writing experience (e.g., technical writing and business reporting).
•    Proficient with Microsoft Office packages, specifically Word, Excel, and PowerPoint.