
Operations Data Strategist
6 days ago
As a key player in our fintech revolution, you will drive the development of next-gen recovery infrastructure for lenders and expand financial inclusion.
This role offers the opportunity to design end-to-end data pipelines, develop advanced propensity models, create real-time dashboards, perform statistical analysis, lead A/B testing, ensure data integrity, and mentor junior team members on operational analytics best practices.
Job Description- Develop innovative data solutions for field operations and high-frequency workflows
- Design and implement statistical models for customer behavior prediction and risk segmentation
- Collaborate with cross-functional teams to drive business outcomes through data-driven insights
Required Skills and Qualifications:
- 3-8 years of experience in Data Analyst or Data Scientist roles at operations-heavy startups
- Proven track record of developing advanced propensity modeling experience is mandatory for Senior Candidates
- Degree in Statistics, Computer Science, Economics, or related quantitative fields
- Expertise in SQL, Python (Pandas, NumPy, Scikit-learn), Power BI/Tableau, and Statistical modeling for operational decision-making
Benefits
- Ownership culture: Drive analytics for India's next-gen recovery infrastructure
- Operational impact: Your models directly optimize field force actions
- Growth environment: Lean startup where you'll shape data strategy
- Flexible productivity: Work when you're most effective
Why Join Us?
- Pioneer solutions for democratizing credit
- Build the blueprint: Shape data strategy for India's next-gen recovery infrastructure
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