Develop, implement and handle credit risk strategies that involve elements of credit underwriting, pricing, loan amount assignment and verification based on an estimation of probability of default
Design A/B tests to help understand risk return tradeoffs using hypothesis testing frameworks
Craft automated dashboards to track KPIs around funnel conversion and strategy/portfolio performance; summarize and present findings to senior management
Use analytical techniques to mine loan data, and convert findings into executions, including risk mitigation actions, pricing optimization and credit expansion opportunities, to optimize risk-adjusted revenue
Expand existing set of data used in credit decisioning process by evaluating information; value of non-traditional data sources and by re-engineering use of existing data elements
Work closely with technology teams to ensure new strategies are implemented accurately and as designed

Requirements

3+ years of experience in some combination of credit, analytics, risk management, and data science
Bachelor's degree or higher in a quantitative field (e.g. Statistics, Math, Engineering, Economics); or equivalent work experience
Technical skills such as SQL, SAS, R, and Python
Experience with BI/data visualization tools, like Tableau or Excel, to create dashboards

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

credit risk strategiescredit underwritingpricing optimizationhypothesis testingdata miningrisk mitigationKPI trackingdata evaluationSQLPython

Soft Skills

analytical skillscommunicationpresentation skillscollaboration