Fraud Operations Analyst

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

Bachelor's degree in Finance, Business Administration, or a related field.

Minimum of 2 years of experience in fraud prevention, preferably within the financial services industry.

Strong analytical and problem-solving skills.

Advanced SQL skills

Proficiency in using fraud detection software and tools.

Excellent communication in English and interpersonal skills.

Benefits

100% Company Funded : Private Health Insurance for employee and immediate family

20 days vacation

Phone finance, Headphone, home office equipment and wellness perks.

$2,000 USD annual Co-working Travel perk

$2,000 USD annual Professional Development perk

PayJoy Principles

Finance for the next billion Ownership Break Through Walls Live Communication Transparency & Directness Focus on Scale Work-Life Balance Embrace Diversity Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.