Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
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
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.
BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.