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Salary
≈ $25k – $69k per year (Estimated)
Location
In office (Jakarta)
Seniority
Junior
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 11, 2025. Flip scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Flip is an Indonesian fintech that made interbank transfers free for consumers by routing them efficiently. It has grown into international remittance, bill payment and business disbursement products. The company was founded by university students and became a widely used consumer app.

About the Role

As a Fraud Analyst at Flip, you will play a crucial role in safeguarding our company and our customers from fraudulent activities. Your analytical skills and technical expertise will be vital in identifying and mitigating fraud risks. You will work closely with various departments to implement effective solutions, influence operational practices, and drive strategic decisions. Your contributions will directly impact our ability to provide a secure and trustworthy experience for our users.

About Flip

What You’ll Do:

  • Identify & analyze patterns, trends and anomalies that indicate fraudulent behavior based on data.

  • Implement solutions to mitigate fraud/risk through rules, product fixes, third-party integrations, etc.

  • Influence and improve organizational operations with a focus on increasing fraud/risk awareness.

  • Contribute to cost-saving initiatives for the company.

What You'll Need:

  • Fresh graduate from Computer Science, Mathematics, Or any relevant majors are open
  • Proficiency in SQL and at least one scripting language (ideally Python or R).
  • Ability to use statistical inference and experimentation to drive actionable recommendations.
  • Comfort with transforming raw data to build custom data sets when necessary.
  • Aptitude for selecting the right tools to maximize efficiency, balancing speed and accuracy.
  • Experience working in a fast-growing start-up environment.
  • Experience in the fraud detection, data analytics, or related fields within financial service industry is preferred
  • Ability to design and implement collaborative processes with ops, product, and engineering teams.
  • Proven track record of acting as a thought partner to product or engineering leaders, driving strategic decisions using data.
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