Sr. Security Engineer - FRM

Key skills

• Python
• SQL
• Machine Learning

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

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