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KRAFTON INDIA

Sr. Security Engineer - FRM

KRAFTON INDIA Bengaluru, Karnataka, India

Computer Games · 1,001-5,000 employees

6 d ago
security Senior (5-10 yrs) Full-time India
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About the role

You will be responsible for building and operating real-time fraud detection and transaction monitoring systems. Additionally, you will manage review queues, escalation paths, and translate emerging fraud patterns into actionable detection logic.

What they look for

Fraud Risk Management Trust & Safety Risk Engineering Fintech Transaction Monitoring Risk Scoring Rules Engines Machine Learning Python SQL UPI Payment Flows Regulatory Compliance Case Management Data Analysis

Requirements

Candidates must have 4–7 years of experience in fraud risk management or risk engineering within fintech or banking environments. Proficiency in Python, SQL, and an understanding of regulatory requirements like NPCI and RBI are required.

Full 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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