Fraud Analyst

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

Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.

After seven years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip's ultimate mission is to give Indonesians access to one of the most progressive and fairest financial services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.

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.