Jobs

2,171 open roles · updated yesterday, 11:35

Sort Newest first

Saved
2 rolesEngineeringAt KRAFTON IndiaClear all
2 roles · newest firstClear all
All companies

KRAFTON India

Global, India office

2 open roles · Bengaluru

open roles
2
posted this week
0
locations
Bengaluru
Engineering · 2Product · 1
Earlier this month1 role
Sr. Security Engineer - FRMBengaluruSeniorDesktop apply2w

Save roles you like and get new ones by email — sign in.

Every open role at KRAFTON India in India.

KRAFTON India · Global, India officeAll 3 open roles ›

Sr. Security Engineer - FRM

Bengaluru · Posted
Location
Bengaluru
Level
Senior
Experience
4–7 years
Pay
Not listed
Workplace
Not stated
Posted
19 days ago
Status
Open · checked 1d ago

On a laptop, OpenRoles fills KRAFTON India's form from your resume — you check it and press Submit. Sign up free now and it's ready when you get there.

Skills mentioned in the posting

  • Python
  • SQL
  • Machine Learning

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
View the original posting ↗