Job description

Key Responsibilities :

4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking
Hands-on experience building or operating real-time fraud detection and transaction monitoring systems
Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches
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

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.

Alerts as often as hourly. Reach new roles while the pile is still small.

Skill gaps, spelled out. See exactly which requirements you don't meet yet.

Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

Job description

Key Responsibilities :

4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking
Hands-on experience building or operating real-time fraud detection and transaction monitoring systems
Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches
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