Quantitative Modelling Analyst III

At Exeter Finance, we are committed to helping customers find the right financing for their next vehicle purchase. By building strong relationships with our customers and network of dealer partners we are able to give options that make sense, getting customers behind the wheel of their car.

Every team member is integral to our success. Whether you're at a servicing center helping customers with their loans, in the field building relationships with dealers, or supporting the company from its corporate offices, you'll enjoy a nurturing, invigorating and positive work environment.

Our vision is to be a premier finance company and lender of choice known for its People, Performance and Service.

Job Description

Job Summary

The Quantitative Modeling Analyst III is responsible for the development and management of credit risk modeling used for loan originations, account management and collections, loan loss forecasting, capital plans, and stress testing. This person will manage credit risk model development and implementation independently and through collaboration with stakeholders throughout the organization.

Job Duties

• Develop, modify, maintain, document, and provide high-level support for models used to estimate expected portfolio losses. Includes quantification of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).
• Research and apply enhancements to existing suite of models to improve quality and accuracy of delivered results. Recommend possible changes to assumptions in model drivers.
• Independently develop and produces analysis related to loan origination, performance and forecasting, to include manipulating and interpreting data, analyzing/identifying trends, and reports findings.
• Provide econometric modeling and statistical analysis of large-scale auto data sets to identify relationships and trends amount various loss factors.
• Completes ad hoc projects related to the entire function of credit risk, and summarizes results using verbal, written, and formal presentation techniques.
• Summarizes analysis and communicates information to various levels of managements.
• Assist with development of business knowledge and technical skills of lower level analysts.
• Other duties as required.

Education and Work Experience
• Bachelor's or Master's degree in an applied quantitative field such as Engineering, Economics, Statistics, or Finance, or equivalent work experience.
• Four (4) + years of experience with predictive modeling, including various forecasting techniques such as Logistic Regression, Generalized Linear Models, Decision Trees, Neural Networks, Markov, Multivariate Analysis, and Monte Carlo.
• Experience working with credit data, such as Originations credit policy, Servicing and Collections analytics, and Loss Forecasting / Loan Loss Reserves.
• Strong Programming skills in advanced analytical languages (e.g. SQL, SAS, Python, R)
• Excellent business judgment and risk assessment skills as demonstrated by previous work or academic experience in an analytic role
• Understanding of data sources/warehouses, data mining and data analysis techniques.
• Quantitative skills, with ability to analyze detailed statistics, and summarize findings.
• Understanding of GAAP principles related to loss forecasting and stress-testing, particularly Allowance for Loan Losses (ALL), CECL, SOX, Frank-Dodd, CCAR, and Basel.
• Detail-oriented with ability to manage multiple tasks/deadlines.
• Effective written and verbal presentation skills.
• Ability to adapt to rapid change.
• Proficiency with MS Office products (Excel, Word, PowerPoint, etc.).

Exeter Finance LLC is an Equal Opportunity Employer.