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Credit Risk Modeler

Credit Risk Modeler

Job ID 
2018-1347
Job Locations 
US-CA-Santa Ana
Category 
Risk Management
Type 
Regular Full-Time

More information about this job

About Us

Veros Credit specializes in the acquisition and servicing of motor vehicle retail installment contracts from our network of franchise and independent automobile dealers and has a nationwide presence with headquarters in Southern California’s Orange County.

 

We are customer service driven with a “can do” attitude. We offer a dynamic and friendly “business casual” work environment (jeans are ok!), competitive pay and an outstanding benefits package. Some of our benefit offerings include:

 

  • Medical, Dental, and Vision Insurance
  • Life Insurance
  • Short Term Disability (STD) and Long Term Disability (LTD) Insurance
  • Employee Assistance Program (EAP)
  • 401(k) Plan
  • Tuition Reimbursement
  • Paid Holidays
  • Paid Time Off (PTO)
  • And a lot more! 

 At Veros Credit, we value our employees and encourage their professional growth and success by investing in training and promoting from within.

About The Position

The Credit Risk Modeler will be part of a team responsible for monitoring key risk indicators (KRI) through proactive Risk Management principles and providing insights into the health of the portfolio.

 

Essential Responsibilities:

  • Perform advanced data and statistical analysis in support of the creation and maintenance of performance scorecards.
  • Support the Credit Risk Management team in data analysis and model construction.
  • Develop and integrate model strategy to support business initiatives and risk based pricing.
  • Perform data manipulation and analysis using SQL, R or Python and Microsoft Excel.
  • Develop statistical modeling in areas such as segmentation analysis, logistic regression, decision trees and multivariate analysis.
  • Incorporate observations and data in to existing models to improve predictive results.
  • Identify deviations from forecast/expectations and explain variances.
  • Contribute to loss forecasts, demographic and credit limit utilization analysis.
  • Prepare exhibits and supporting materials.
  • Develop recommendations for credit policy.
  • Track portfolio performance and risk strategy results.
  • Identify opportunities to leverage statistical solutions to solve business problems.
  • Other duties as assigned.

Requirements:

  • 3+ years of progressive experience in data extraction, transformation and database development in the finance industry, auto finance is preferred.
  • Advanced knowledge of R or Python and SQL is necessary, subsidized with other Statistical Software Package experience.
  • Ability to utilize analytics in a collaborative manner across business functions and product lines to derive optimum solutions.
  • Strong communication and problem solving skills with the ability to interact with others in a professional, tactful, and sensitive manner.
  • Demonstrated ability to communicate complex concepts.
  • Demonstrated ability to manipulate and analyze data across large databases.
  • Detail oriented and organized with a strong work ethic and team focus.
  • Ability to work in a fast paced environment, both independently and as part of a team with the ability to work under tight deadlines and manage more than one assignment at a time.
  • Advanced Degree in Mathematics, Statistics, Quantitative Analysis or equivalent work experience.     

 

Veros Credit, LLC is an equal opportunity employer.