Job description
Treliant seeks Credit Risk Modelers for remote, project-based opportunities.
- 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
- 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
If you want to be part of a dynamic team of professionals, we invite you to join the team at Treliant. We invest in people, and challenge you to advance your career while achieving your aspirations and goals. Here at Treliant, we pride ourselves on our collaborative team culture, where we embrace diversity of thought and innovation. If you strive for excellence and seek an inclusive environment apply on line www.treliant.com and follow us on LinkedIn.
Treliant LLC is an Equal Opportunity Employer and does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, religion, age, disability, or military status in employment or provision of services. When contacted for an interview, an applicant who requires special accommodations due to a disability should notify the office so that proper arrangements can be made.
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