Sneha Rao

Leading financial data strategy across Stripe's Money Movement and Reconciliation platforms for a portfolio handling over $8B+ in monthly payment volume. Drove analytics initiatives across payout workflows, ledger reconciliation, and financial compliance.

• Built and scaled Grover's core financial analytics infrastructure for subscriptions, pricing, and collections, directly supporting executive decisions on capital allocation and operational risk.

• Improved market valuation pipeline accuracy by 13% through machine-driven outlier detection and pricing ingestion optimizations.

• Automated 56% of manual payments collection processes using business logic filters and fraud pattern detection.

• Directed Tableau rollout across finance and credit teams; optimized data models for revenue, delinquency, and payment forecasting.

• Collaborated with cross functional teams - Subscription Management, Operations, Payments, Debt Collections, Pricing, Risk, Finance, Treasury and Controlling to develop core analytical tools for optimized functioning of these business units.

• Cultivated relationships with the leadership team within the company to discuss organizational objectives and drive data driven culture across Grover.

• Improved Asset Valuation Pipeline using outlier detection, data pre-processing on collected market prices, built optimized data pipelines. Lead to improvement in market valuation accuracy by 13% and reducing manual efforts by 50%.

• Improved manual payments collection pipeline by implementing rules to book around 56% of manual payments automatically. Also responsible for continuous tracking and improvement to bring manual process down to 20%.

• Evaluated investment potential of companies with thorough assessments of historical data, operational activities and future objectives.

• Collaborated on implementation of collection strategies with collections, risk and fraud teams. Designed and monitored underwriting scorecards and related predictability. Analyzed portfolios and identified risk factors, facilitating reduction of delinquencies on new volumes and recommending risk-adverse underwriting strategies.

Led data strategy, credit risk, and product analytics for a consumer lending platform targeting 8M+ users.