Data Scientist – Model Governance

Role Overview

• 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

Tech Stack

• Python
• 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!