Fraud Operations Analyst

Payjoy · Bangalore

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

    • Operations pay context

    Based on 4,258 disclosed Operations salaries on RoleSuite, the role pays a median of $110K/year, with most offers between $82K and $145K (10th–90th percentile: $66K–$184K).

    See the full Operations salary breakdown →
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