Conduct compliance-focused validation of credit decisioning and consumer lending models: evaluate predictive accuracy, test model assumptions and ML algorithms, document findings, and present results to project leads.
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.
You'll help banks, asset management and insurance organizations own their future by helping them to transform and create new business models to meet changing customer needs and drive sustainability.
Join our team as the expert you are now and create your future.
- 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.
Huron Chicago, Illinois, USA Office
550 W. Van Buren Street, Chicago, IL, United States, 60607
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