U.S. Bank Quantitative Model Analyst (Fraud & Risk Strategy) in Omaha, Nebraska

The Quantitative Model Analyst supports fraud detection models, as well as provide ad hoc data analysis of rule performance. The ideal candidate will have strong modeling skills with a deep understanding of the relevant theory (Mathematics/Statistics/Econometrics), which underlies the techniques that the modeler uses. In addition to building models and performing data analysis, this role also requires presenting and explaining modeling choices and analysis to a diverse audience; therefore, strong oral and written communication skills are essential.

Additional responsibilities include:

  • Develops and analyzes rules and quantitative models

  • Documents, defends, and supports models and modeling approaches to internal validators and the OCC

  • Performs ad hoc data analytics in support of the business line

This position can be located anywhere within the United States, with the option to work in an office setting (where available) OR work from home full time . Depending upon location of the candidate, minimal travel may be required at times.

Qualifications:

Basic Qualifications

  • Bachelor's degree in a quantitative field (such as statistics, economics or mathematics), 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

Preferred Skills/Experience

  • 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

  • Familiarity with statistical and quantitative techniques, including but not limited to, regression analysis, time series analysis, econometrics, and machine learning

  • Three plus years of banking experience

  • Experience in data mining and working with large data sets and the tools used to do so (e.g. SAS , Matlab , R , Python )

  • Experience with SQL

  • Experience working with the Actimize IFM platform , AAE , and Policy Manager

  • Three plus years working with fraud (ideally related to DDA accounts) or credit risk management

  • Demonstrated independence, team work, and leadership skills

  • Strong project management skills

  • Excellent written and verbal communication skills

Job: Risk Management / Fraud Prevention

Primary Location: Oregon-OR-Gresham

Shift: 1st - Daytime

Average Hours Per Week: 40

Requisition ID: 170029005

Other Locations: West Virginia, Wyoming, Washington, Wisconsin, Rhode Island, Pennsylvania, Oregon, Ohio, Oklahoma, Virginia, Vermont, Texas, Utah, Tennessee, South Carolina, South Dakota, Nebraska, Illinois, North Carolina, North Dakota, Montana, Missouri, Mississippi, Nevada, New York, New Mexico, New Hampshire, New Jersey, Indiana, Kansas, Iowa, Idaho, Georgia, Hawaii, United States, Delaware, Minnesota, Florida, Michigan, California, Maryland, Maine, Massachusetts, Kentucky, Louisiana, Connecticut, District of Columbia, Colorado, Arkansas, Arizona, Alaska, Alabama

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