Junior Fraud Analyst
Quick Summary
About the RoleAs 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.
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).
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.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- May 6, 2026
Signal breakdown
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