Fraud Data Scientist

Straive is hiring a Fraud Data Scientist in Hyderabad, Gurugram, Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.

What the work involves

• You will design, build, and deploy high-throughput fraud decisioning models and feature pipelines across card transactions, merchant activity, and account takeover scenarios
• ML Development: Build payment fraud models using XGBoost, LightGBM, and Isolation Forests
• Feature Pipelines: Build velocity, temporal, and device features using Python and SQL
• Decision Strategy: Optimize precision-recall trade-offs to balance fraud loss and friction
• Model Lifecycle: Track production performance (PSI, drift) and manage retraining pipelines
• Cross-Functional: Translate emerging threat vectors into actionable rules and model signals

What they are looking for

• Data Scientist / Senior Data Scientist
• Experience Range
• Bangalore / Hyderabad / Gurgaon (Hybrid)
• We are looking for a Data Scientist with 2 to 8 years of experience to own end-to-end Machine Learning model development for payment fraud prevention
• Experience: 2 to 8 years of hands-on data science experience
• Core Tech Stack:
• FRAUD Domain Knowledge: Understanding of FRAUD banking/payments, credit/debit card fraud patterns, transaction monitoring, account takeover (ATO), and velocity-based risk scoring etc
• Python: Strong proficiency with pandas, numpy, scikit-learn

Pay and dates

The listed pay is 25-35 Lacs P.A.. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “2 days ago” when captured; that is a relative stamp, not an exact date.

How to apply

Apply on the listing where the employer published this role: Fraud Data Scientist at Straive. We found this listing via naukri.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.