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.