About This Role
Being a Fraud Analytics Specialist involves preventing fraud in UPI and digital payments, creating fraud rules, and monitoring AML. The role suits a candidate experienced in analyzing transaction patterns, identifying new fraud types, and designing detection rules to reduce losses while ensuring a good customer experience.
Responsibilities
- 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 transaction velocity, device intelligence, user behaviour patterns, transaction amount and frequency, beneficiary risk signals, geographic/IP/device anomalies, and account takeover indicators
- Continuously monitor rule performance and optimize thresholds to improve fraud detection while minimizing false positives
- Perform deep-dive analysis of fraudulent transactions to identify root causes and fraud patterns
- Create fraud segmentation frameworks and dashboards to track fraud rates, fraud losses, detection rates, false positive rates, rule effectiveness, and customer impact
- Analyse customer, device, transaction, and behavioural data to identify risk signals
- Support investigation teams with data-driven insights on fraud cases
- Support AML transaction monitoring activities for suspicious payment behaviours
- Identify patterns related to money mule accounts, account takeover, phishing/social engineering fraud, suspicious fund movement, and layering and rapid movement of funds
- Assist in improving monitoring scenarios and risk-based controls
- 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
Requirements
- 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: fraud rate, chargeback/fraud loss, detection rate, false positives, precision/recall of fraud rules
Nice to have:
- Experience working with UPI ecosystem players: TPAPs, PSP banks, payment gateways, digital wallets, Fintech platforms
