U.S. Bank Senior Risk Modeler in Irvine, California

Duties

Participate in the full lifecycle of statistical modeling project in support of credit card portfolio. Project starting from model design, analysis, model development, documentation, recommendation to senior management and lines of business, work with model governance team for audit, implementation, prior/post production testing, performance monitoring and validation.

  • Participate in new account acquisitions, portfolio management and collection credit scorecard projects as needed

  • Prepare data for modeling, validation or ad-hoc analysis from internal/external data sources

  • Analyze internal and external data for segmentation and validation

  • Develop and validate scorecards for modeling probability of default using traditional techniques including Linear/logistic Regression and decision tree. Machine learning techniques such as Cluster Analysis, Gradient Boosting and Random Forest may also be used.

  • Complete model documentation post development according to regulatory and compliance requirements

  • Support model implementation and monitor production activities post development

  • Determine, develop and document data requirements, modeling assumptions and model results for best practice methodologies deployed and alternatives approaches considered

  • Work with lines of business to ensure models are business-driven and empirically derived

  • Communicate with and respond to internal model validation team for risk model approval, and the management of model inventory

  • Support risk and operation teams to successfully operationalize newly developed models

  • Any ad-hoc duties from senior management and lines of business

Qualifications:

Basic Qualifications

  • Bachelor's degree, or equivalent work experience

-Minimum of five plus years’ of related work experience (in financial industry) in building statistical models and advanced data analysis.

Preferred Skills/Experience

  • Applied experience with Logistic Regression, Linear Regression, Time Series Analysis, Decision Trees, and Cluster Analysis.

•Advanced programming skills to include knowledge of statistical programs (e.g. SQL, SAS, and R).

•Ability to manage multiple projects simultaneously and implement rapid changes in project direction.

•Proven project management skills.

•Excellent oral and written communication skills required

•Ph.D. or Master Degree in a quantitative discipline is preferred

Job: Risk/Compliance/QC/Audit/Fraud

Primary Location: Pennsylvania-PA-Horsham

Shift: 1st - Daytime

Average Hours Per Week: 40

Requisition ID: 180005563

Other Locations: United States

U.S. Bank is an Equal Opportunity Employer committed to creating a diverse workforce.

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.