Loading
P
Fraud Operations Analyst
PayJoyBangalore2+ years
Apply About PayJoy
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.
This role
The Fraud Operations Analyst will be responsible for monitoring, detecting, and preventing fraud across the India portfolio. This role focuses on early risk detection, manual review workflows, fraud trend analysis, and execution of fraud mitigation strategies in collaboration with Risk, Product, GTM, and Collections teams.
The analyst will play a critical role in identifying emerging fraud patterns such as synthetic identity, repeat borrower abuse, promoter collusion, and device related fraud, and translating these into actionable controls
Responsibilities
1. Fraud Detection & Review
Perform daily manual reviews of flagged transactions and high risk finance orders via internal tools such as Cyborg
Investigate alerts including repeat borrower patterns, selfie mismatches, device anomalies, and early inactivity signals
Identify and escalate suspicious activity including syndicate behaviour and merchant level anomalies
2. Early Risk Monitoring
Monitor early lifecycle signals including:
Day 0 to Day 5 inactivity
First payment delinquency risk (FPD7 and FPD15)
Device “gone dark” patterns
Flag high risk cohorts for immediate action
3. Fraud Trend Analysis
Analyse fraud trends across merchants, devices, geographies, and promoters
Identify high risk clusters and emerging fraud vectors specific to the India market
Support cohort based analysis and pre/post intervention measurement
4. Execution of Fraud Controls
Recommend and implement fraud mitigation actions such as:
Device restrictions or removals
Merchant level controls
Segmentation strategies for high risk cohorts
Support rollout of fraud rules and alerts in Cyborg
5. Stakeholder Collaboration
Work closely with:
GTM teams to address merchant and promoter behaviour
Risk and Data Science teams to refine detection models
Collections teams to monitor downstream impact
Provide actionable insights, not just reporting
6. Reporting & Insights
Maintain weekly fraud updates with clear structure:
What happened
Why it happened
What actions are being taken
Track key metrics including BE share, FPD, and early inactivity
Contribute to monthly executive reporting
Requirements
Benefits
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening