U.S. Bank Quantitative Model Validation Analyst in Fargo, North Dakota
At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. 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.
U.S. Bank is seeking qualified applicants for a Fraud Model Validation Analyst position within Model Risk Management to validate and track statistical models used in the detection of fraud.
The Fraud Model Validation Analyst is responsible for validating and tracking performance of fraud models for various card products and deposit accounts, including a review of the underlying assumptions, theory, empirical evidence, and limitations of the model being validated. In addition, you will conduct thorough testing and provide critical review of the performance of the model being validated. This culminates with independently authored reports detailing results of the analyses that are accessible to various levels of management and quantitative backgrounds.
You will have the opportunity to lead projects and work as part of a team in an interactive environment with other professionals in risk and operations, as well as information technology. In this role, you will successfully influence these areas and present recommendations to senior management. In addition, you will work closely with model stakeholders throughout the validation process. Incumbent will also periodically have direct engagement with regulators (OCC/FED) and internal audit to discuss justification and reasoning behind validation findings. Extensive technical skills and an understanding of modeling methodologies are required. Strong verbal and written communication skills are necessary (ability to explain complex ideas in simple, non-technical language).
Prefer applicants with an advanced degree (MA, MS, MBA or Ph.D.) in Economics, Math, Finance, Statistics, or related field. Three to five years of quantitative experience is preferred. Programming background in SAS is required. Familiarity with VBA, C/C , SQL, MATLAB, R, S-Plus, or SPSS is a strong plus. Prior experience in fraud risk management practices (business or consumer) is also helpful. We look for candidates with the proven ability to work and thrive in a rapid-paced, team-oriented environment; who have the leadership skills to manage projects across multiple functional areas; and who have the drive to continually meet new challenges.
Bachelor's degree in a quantitative field, and five to eight years of experience in statistical modeling OR
Master's or PhD degree in a quantitative field, and less than five years of experience in statistical modeling
Advanced understanding of applicable laws, regulations, financial services, and regulatory trends that affect assigned line of business
Strong statistical modeling background based on technical training or advanced education in a quantitative field
Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package
Strong data compilation, programming skills and qualitative analysis skills
Advanced knowledgeable of quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
Demonstrated independence, team work and leadership skills
Strong project management skills
Excellent written and verbal communication skills
Job: Accounting / Finance
Primary Location: United States
Shift: 1st - Daytime
Average Hours Per Week: 40
Requisition ID: 170014337