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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Support the development, validation and monitoring of predictive models for credit and risk.
- Perform exploratory data analysis to identify patterns, trends and opportunities for improvement.
- Build queries and manipulate databases to generate insights and key metrics.
- Contribute to model documentation and governance.
- Collaborate with cross-functional teams to support analytical and business initiatives.
- Stay up to date with new techniques and tools related to Data Science, Machine Learning and Artificial Intelligence.
Requirements
What you’ll need- Bachelor's degree completed or near completion in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics or related fields.
- Knowledge of data analysis and applied statistics.
- Proficiency in SQL and/or Python for data manipulation and analysis.
- Analytical skills and interest in solving business problems through data.
- Intermediate English for reading technical documentation and professional development.
- Desired: Academic experience, internships or projects related to modeling, data analysis or financial markets.
- Basic knowledge of Machine Learning and Artificial Intelligence.
- Experience or interest in credit, risk or financial services.
- Participation in research projects, data competitions or analytics initiatives.
Benefits
Comp & perks- Health insurance
- 401(k) with matching
- Flexible working hours
- Paid leave
- Opportunities for professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisApplied StatisticsPredictive ModelingDatabase ManipulationExploratory Data Analysis
Soft Skills
Analytical SkillsProblem SolvingCollaboration