This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility
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
Requirements
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