Head of Fraud and Risk Analytics

Remote
New York
San Francisco
Berlin
Erlangen
Economics & Data Science
Full-time
Apply Now

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.

About the Company:

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.

About the Team:

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.

About the Opportunity:

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:

  • Build up and manage a high-performing team of machine learning engineers and data scientists
  • Define the team’s strategy for fraud detection and prevention
  • Design and implement automated fraud detection algorithms that use anonymous data generated by the Orb, by the Worldcoin app, and on-chain (Blockchain) data
  • Build analytics systems that scale to thousands of Orbs and billions of users
  • Lead in-depth analyses into individual fraud cases and set up appropriate monitoring
  • Develop strategies to prevent fraud by proposing new product features/checkpoints
  • Work with our Data Engineering team to set up the technical infrastructure necessary for collecting, processing and cleaning all relevant data
  • Collaborate closely with all other stakeholders (i.e., Trust and Safety, Orb, Product, Blockchain, Market Operations, AI)

About You:

  • Degree in a quantitative field like computer science, statistics, applied math, operations research or similar (advanced degrees preferred), or relevant work experience
  • 8+ years of hands-on technical experience in a data science role or equivalent
  • 3+ years of experience in fraud and risk analytics, or related area
  • 3+ years of management experience building and leading teams
  • Experience with machine learning techniques for fraud detection (e.g., autoencoders for anomaly detection)
  • Skilled at managing cross-functional relationships and communicating with leadership across multiple teams
  • Practically oriented and “getting-the-job-done” mindset
  • Thriving in a fast-paced and continuously evolving environment 
  • Basic understanding of blockchain technology a plus

 

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.

Head of Fraud and Risk Analytics

Apply Now

Category

Economics & Data Science

Location

Remote / New York / San Francisco / Berlin / Erlangen

Type

Full-time