Data Scientist utilizing Machine Learning and statistics for business solutions at Suzano, a leader in sustainable products. Collaborating with teams and creating models for data - driven decisions.
About the role
- Data Scientist developing and validating credit risk models at Enova. Collaborating with cross-functional teams to enhance lending criteria and verification procedures.
Responsibilities
- 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!
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
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