Experience working with payment flows, UPI, wallets, or similar transaction-heavy systems
Familiarity with regulatory requirements around fraud and risk controls — NPCI, RBI, sanctions/watchlist screening, suspicious-transaction reporting, and comparable regimes
Proficiency in Python or a similar language; comfortable working with SQL and large transactional datasets
Strong analytical mindset, with the ability to translate emerging fraud patterns and typologies into actionable detection logic
Comfortable owning a control that only works if someone actually works it — the review queue and escalation path are real from the day you’re behind them
Experience with UPI/TPAP ecosystems or NPCI-regulated payment products is a plus
Experience with case management tools and fraud investigation workflows is a plus
Exposure to machine learning-based risk models in production, including model governance and drift monitoring, is a plus
Prior experience supporting statutory or regulatory audits related to fraud or risk controls is a plus
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