Senior Fraud Strategy & Analytics Manager

PT Trinusa Travelindo

Jakarta Utara

On-site

IDR 600,000,000 - 1,000,000,000

Full time

4 days ago
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Job summary

Traveloka in Jakarta seeks a seasoned Fraud Analytics Lead to drive in-depth analysis of the PayLater portfolio, identify evolving fraud patterns, and strengthen detection models across the BNPL ecosystem.

You will investigate complex cases, design robust countermeasures, support GBV growth, improve early investigation frameworks, and collaborate with regulators and internal teams to stay ahead of fraud threats.

Qualifications

  • Minimum 7 years of Fraud Investigation/Management in unsecured lending or BNPL.
  • Strong understanding of OJK regulations and BNPL fraud landscape.
  • Proficient in data analytics with ability to present data-backed findings.
  • Bachelor’s degree in STEM with GPA 3.5+.
  • Experience working across functions and driving end-to-end accountability.
  • Fluent in English; high integrity and detail-oriented.
  • Comfortable with ambiguity and iterative approach.

Responsibilities

  • Advanced Fraud Analytics: conduct deep-dive analytics on PayLater to detect patterns and trends.
  • Incident Investigation & Countermeasures: analyze fraud cases, design countermeasures, and implement rules.
  • Financial Recovery: execute asset recovery actions to minimize losses while supporting GBV growth.
  • Framework Optimization: evaluate and refine early investigation frameworks for efficiency.
  • Compliance, KYB & Stakeholder Management: liaise with regulators and internal teams, ensure KYB/KYE compliance.
  • Intelligence & Awareness: perform proactive fraud intelligence and drive customer-facing awareness.

Skills

Data analytics
Stakeholder communication
Cross-functional collaboration
Pattern recognition
English fluency
Integrity

Education

Bachelor’s degree in STEM

Job description

Traveloka in Jakarta seeks a seasoned Fraud Analytics Lead to drive in-depth analysis of the PayLater portfolio, identify evolving fraud patterns, and strengthen detection models across the BNPL ecosystem.

You will investigate complex cases, design robust countermeasures, support GBV growth, improve early investigation frameworks, and collaborate with regulators and internal teams to stay ahead of fraud threats.

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