Overseeing the performance of fraud models and conducting in-depth data analytics to identify underlying model performance issues
Developing action plans for deteriorating models
Working closely with the Acquisition Fraud Strategy Model Developers as well as the Credit Strategy Validation team to create remediation plans when models are not performing as expected
Supporting the evaluation of new fraud models, fraud and technology tools
Coordinating model roll-outs with the strategy team
Developing enhanced ongoing monitoring reporting
Performing model implementation validations and ensuring strategies have the best tools and scores
Assisting fraud strategy leads in the development of fraud strategies and analytics when time permits

Requirements

Bachelor’s degree and 5+ years of experience building analytically derived strategies within Credit, Marketing, Risk or Collections in Financial services
3+ years of experience working with statistical tools such as SAS, Python, Tableau
Expert level proficiency with Excel
3+ years of experience in retail, business, installment loans, or private label credit
Excellent temperament and ability to work through uncertainty, collaborate respectfully across functions & teams, and find solutions to issues
Ability and flexibility to travel for business as required

Benefits

Flexibility to work from home near one of our Hubs or come into one of our offices
Required to commute to our nearest Hub for in-person engagement activities such as weekly business or team meetings, training and culture events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsfraud modelsstatistical toolsSASPythonTableauExcelmodel implementation validationmonitoring reportingremediation plans

Soft Skills

collaborationproblem-solvingadaptabilitycommunicationteamworkstrategic thinkingflexibilityinterpersonal skillsability to work through uncertaintysolution-oriented

Certifications

Bachelor's degree