FinTech interview pack
Razorpay AI Interview Preparation
Everything you need to prepare for Razorpay AI and machine learning interviews — 4 rounds of real questions, the topics they test, and what interviewers actually reward.
R
Razorpay
FinTech
High
4 rounds3 rolesRoles this pack covers
AI Engineer
ML Engineer
Risk ML Engineer
Topics they test
Fraud Detection
Risk Scoring
Real-time ML
Graph Neural Networks
Compliance
Real interview questions
- Q1Design a real-time fraud detection system with <50ms latency
- Q2How do you handle concept drift in payment fraud patterns?
- Q3Explain GNN for merchant risk assessment
- Q4Design an explainable ML system for regulatory compliance
Insider tip
“Razorpay values engineering rigor + business impact. Quantify your past work in revenue saved, fraud caught, or latency reduced.”
Mentor: Vikram Desai, ML Lead (Razorpay Risk)
Get the full Razorpay pack
System design templates, code walkthroughs, mock interviews and salary benchmarks — included with the Agentic AI Engineer program.