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Credit Model Specialist
TreliantCredit Risk Modeler at Treliant performing validation of credit decisioning and consumer lending models. Evaluating predictive accuracy and documenting results for project leads.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Perform thorough model validation of credit decisioning and related consumer lending models
- Rigorously evaluate predictive accuracy of model assumptions against actual performance and requirements
- Document results in a concisely written report
- Clearly present work to the project lead
Requirements
What you’ll need- Undergraduate degree in a quantitative discipline (i.e. statistics, econometrics, engineering)
- Advanced degree a plus
- 5+ years of credit risk model validation work experience within the financial services industry
- Strong Python and R programming skills
- Experience using SAS and/or Stata software packages a plus
- Experience using Machine Learning packages and evaluating Machine Learning algorithms in consumer lending/leasing or similar businesses
- Understanding of CCAR and DFAST
- Comfort working in a fast-paced and deadline-driven consulting environment
Benefits
Comp & perks- Comprehensive, total rewards package
- Competitive compensation
- Flexible benefit package
- Health benefits
- Vacation plan
- 401k plan
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
model validationpredictive accuracyPythonRSASStataMachine Learningcredit riskconsumer lendingalgorithm evaluation
Soft Skills
communicationpresentationdocumentationanalytical thinkingattention to detailtime managementproblem-solvingcollaborationadaptabilityorganizational skills