Fraud Analyst

Role Title
Fraud Transactions Analyst / Specialist UPI & Digital Payments
Experience
4–7 years

Role Overview
We are looking for a Fraud Analytics Specialist with strong experience in UPI / TPAP transaction fraud prevention, fraud rule creation, and AML monitoring. The ideal candidate will have hands-on experience in analysing transaction patterns, identifying emerging fraud typologies, designing fraud detection rules, and working with analytics teams to reduce fraud losses while maintaining customer experience.
The role requires a strong understanding of digital payments fraud, UPI ecosystem, transaction monitoring, risk controls, and data-driven decision-making.

Key Responsibilities
Fraud Rule Strategy & Transaction Monitoring

• Analyse UPI transaction data to identify suspicious transaction patterns, fraud trends,
  and emerging fraud typologies.

• Design, implement, and optimize real-time fraud detection rules across payment
  journeys.

• Develop transaction monitoring strategies using parameters such as:
  o Transaction velocity
  o Device intelligence
  o User behaviour patterns
  o Transaction amount and frequency
  o Beneficiary risk signals
  o Geographic/IP/device anomalies
  o Account takeover indicators

• Continuously monitor rule performance and optimize thresholds to improve fraud
  detection while minimizing false positives.
  Fraud Analytics & Investigation

• Perform deep-dive analysis of fraudulent transactions to identify root causes and fraud patterns.

• Create fraud segmentation frameworks and dashboards to track:
  o Fraud rates
  o Fraud losses
  o Detection rates
  o False positive rates

• Rule effectiveness
  o Customer impact

  • Analyse customer, device, transaction, and behavioural data to identify risk signals.
  • Support investigation teams with data-driven insights on fraud cases.
    AML & Regulatory Monitoring
  • Support AML transaction monitoring activities for suspicious payment behaviours.
  • Identify patterns related to:
    o Money mule accounts
    o Account takeover
    o Phishing/social engineering fraud
    o Suspicious fund movement
    o Layering and rapid movement of funds
  • Assist in improving monitoring scenarios and risk-based controls.
    Fraud Control Optimization
  • Partner with product, engineering, operations, and risk teams to implement fraud prevention controls.
  • Evaluate impact of fraud controls on customer conversion and payment success rates.
  • Conduct post-implementation analysis of fraud rules and recommend improvements.
  • Stay updated on evolving UPI fraud trends and industry best practices.

Required Skills & Experience
Must Have

• 4–7 years of experience in fraud analytics, transaction monitoring, risk analytics, or digital payments fraud prevention.
• Prior experience in UPI / TPAP / payment aggregator / digital wallet fraud management.
• Strong SQL skills and experience working with large transaction datasets.
• Experience with analytics tools such as Python / R / SAS / Excel / BI tools.
• Understanding of fraud metrics:
  o Fraud rate
  o Chargeback/fraud loss
  o Detection rate
  o False positives
  o Precision/recall of fraud rules

Preferred Experience

• Experience working with UPI ecosystem players:
  o TPAPs
  o PSP banks
  o Payment gateways
  o Digital wallets
  o Fintech platforms
• Experience designing:
  o Real-time transaction monitoring rules
  o Velocity controls
  o Device/network-based fraud rules
  o Behavioural risk models
• Exposure to machine learning-based fraud detection models.
• Knowledge of RBI guidelines related to digital payment fraud and AML controls.

Technical Skills Required

• SQL (strong)
• Data analysis
• Fraud rule engines
• Transaction monitoring systems
• Excel / BI dashboards

Good to Have

• Python for analytics
• Machine learning models
• Device fingerprinting solutions
• Graph/network analytics
• Feature engineering