Worldcoin participates in the E-Verify Program
Worldcoin is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Worldcoin is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Worldcoin is a new, collectively owned global currency that will be distributed fairly to as many people as possible. Worldcoin will launch by giving a free share to everyone on Earth. We believe that this is an essential step to accelerate the transition towards a more inclusive global economy, providing new ways for everyone to share future prosperity. We hope you’ll join us on our ambitious journey.
The Fraud and Risk Analytics team is responsible for detecting and preventing fraudulent activities that may endanger the health of the Worldcoin ecosystem. Our unique growth model of using a global network of Orb Operators to give a free share of Worldcoin to everyone on Earth leads to numerous challenges that no company has ever encountered before. Potential fraud types include large-scale incentive fraud, social engineering fraud, and presentation attacks. Therefore, sophisticated fraud and risk analytics is essential for Worldcoin’s long-term success.
As the Head of Fraud and Risk Analytics, you will take the lead in defining Worldcoin’s overall fraud and risk analytics strategy while coordinating with many other teams across Worldcoin to establish effective cross-departmental processes to ensure the health of the Worldcoin ecosystem.
In this role you will:
Remote work is an option for this position, but please be aware that the leadership team meets monthly in Berlin, so regular travel would be required.
Economics & Data Science
Remote / New York / San Francisco / Berlin / Erlangen