Summary of the role
We’re looking for a detail-oriented data analyst who enjoys turning raw data into clear, well-structured reports. Someone who takes pride in accuracy and presentation, is comfortable working to recurring deadlines across multiple clients, and is keen to grow their skills as part of a small, collaborative international team building things from scratch.
Key Responsibilities
Produce portfolio risk assessments for Payment Facilitators joining our largest client's network: Each PayFac brings a portfolio of hundreds or thousands of sub-merchants, and you'll profile it end to end - transaction and authorisation volumes, chargeback and refund behaviour, industry and geographic concentration, and merchant-level outliers - to give the client a explicit view of the risk they're taking on.
Screen sub-merchant websites across those portfolios against a structured risk framework: confirming the business is genuine and trading as described, that terms, refund policies, and contact details meet card scheme requirements, and that there are no sanctions, reputational,
or fraud signals. Findings feed directly into the client's risk decisions.
Build quarterly portfolio reviews for our largest client: comparing risk performance across the PayFacs in their network - dispute and fraud rates, merchant churn, portfolio mix, and emerging concentrations - and turning that into a clear, well-designed deck our risk-team presents to leadership.
Answer ad hoc analytical questions from across the business: sizing a segment, investigating a cluster of merchants behaving unusually, or tracking down data quality problems in an incoming PayFac feed.
Work with our Product team on the client-facing risk platform: specifying the data and metrics new features need, testing them against real portfolio data, and validating outputs before release.
Role Requirements
Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Engineering, Mathematics, or similar). Ca
📌 Data Analyst (India)
🏢 Envisso
📍 India