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Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- design, developing, and deploying data-driven solutions across the retail lending lifecycle
- work closely with cross-functional teams to uncover opportunities, build models, optimize processes, and enhance decision-making frameworks through modern data science and business intelligence capabilities
Requirements
What you’ll need- Emphasis is on end-to-end delivery of analysis
- Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues
- Hands on experience on Machine Learning algorithms such as Logistic Regression, Random Forest, XG Boost
- Use variety of analytical tools (Python, SQL, PySpark etc.) to carry out analysis and drive conclusions
- Reformulate highly technical information into concise, understandable terms for presentations
Benefits
Comp & perks- Required skills: Python, SQL, Tableau
- 3- 6 years of consulting, analytics delivery experience
- Experience in Banking and Financial Services domain is preferred.
- Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field
- Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
- Experience of working in financial services and risk analytics domain, a plus
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Outstanding written and verbal communication skills
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-driven solutionsend-to-end deliverydata analysisMachine LearningLogistic RegressionRandom ForestXG Boostdata quality analysisanalytical toolsPython
Soft Skills
collaborationproblem-solvingcommunicationpresentation skills
