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

Valuable to Have

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

📌 Fraud Analyst (Gurugram)
🏢 Paisabazaar
📍 Gurugram