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Job Description
Role Overview:
Act as a close strategic and analytical partner to the COO, converting priorities across Business, Risk and Collections, Customer Service, and Business Operations into structured plans, data-backed decisions, and executed outcomes. You will coordinate closely with cross-functional teams like Data Science, Marketing and Product to bring analytical rigor into day-to-day business execution. This is a high-ownership, execution-first role, not a pure analytics or reporting function.
Roles and Responsibilities:
- Business Strategy: Partner with the COO to build a structured, numbers-driven approach to business growth - turning ideas and hypotheses into concrete plans, tracking mechanisms, and measurable outcomes; add analytical rigor to partner/channel strategy.
- Risk and Collection Strategy: Work alongside the Risk team to create segment-wise balanced risk and growth strategy as well as bucket-wise data-driven collection strategy.
- Data Science Coordination: Serve as the primary business-side counterpart to the Data Science team across COO-led initiatives - framing business problems into clear analytical asks, reviewing outputs for business relevance, and driving adoption of models and insights into daily operations.
- Executional Support to the COO: Own follow-through on strategic initiatives across Risk, Business Management, and Customer Service - project-managing cross-functional execution and preparing structured briefs/analyses for leadership reviews, freeing the COO's bandwidth for higher-level, company-wide contribution.
- Structured Problem-Solving: Bring a hypothesis-driven, numbers-first approach to ambiguous, cross-functional business problems raised by the COO, working with functional owners without taking over their operational responsibilities.
- Special Projects: Lead ad hoc strategic projects assigned by the COO end-to-end - from framing to execution to results tracking.
Required Experience:
- 8 - 10 years of overall experience, spanning strategy, business analytics, or management consulting; fintech / lending / BFSI experience strongly preferred.
- Demonstrated experience translating data into business strategy - e.g. having directly driven a P&L lever, growth initiative, or collections/risk strategy.
- Experience working closely with data science / analytics teams from the business side, even without being a hands-on modeler.
- Prior experience in a strategy, business-partner, or chief-of-staff-style role to a senior leader is a strong plus.
Education:
- MBA in Finance from a reputed institute strongly preferred.
- Engineering or other quantitative undergraduate background preferred, given the analytical rigor the role requires.
Skills
Corporate StrategyBusiness AnalysisStrategy ConsultingConsulting - BFSIBfsiBusiness ManagementCollectionsFintechLendingGrowth StrategyReportingIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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