Perform model validation of credit risk models
Prepare model validation reports and write technical documentation
Assist analysts in validating and preparing their models for production
Interact with model stakeholders and business partners to gather information about credit models and risk acceptances
Support model releases to ensure they are quickly and accurately put into production
Monitor model performance dashboards, build alerts, and escalate concerns as appropriate
Support and improve automated model training processes by using data manipulation, and machine learning skills
Use your programming skills to develop and test programs for custom tool development

Requirements

Experience in developing advanced credit risk models
3+ years of experience in quantitative analysis in the financial services industry is preferred but not required
Knowledge of statistical models in risk management
Advanced programming skills in Python and the ability to write customized programs for meaningful data analysis
Experience working with relational databases, such as SQL

Benefits

Health, dental, and vision insurance including mental health benefits
401(k) matching plus a roth option (U.S. Based employees only)
PTO & paid holidays off
Sabbatical program (for eligible roles)
Summer hours (for eligible roles)
Paid parental leave
DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
Employee recognition and rewards program
Charitable matching and a paid volunteer day…Plus so much more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

model validationcredit risk modelsquantitative analysisstatistical modelsprogrammingPythondata manipulationmachine learningrelational databasesSQL

Soft Skills

communicationcollaborationproblem-solvingtechnical documentationstakeholder interactionmonitoringalert buildingescalation