Senior Data Scientist, Fraud at Kubelt

World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.

The Fraud and Risk Analytics team is responsible for detecting and preventing fraudulent activities that may endanger the health of the World 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 World's long-term success.

You will be an investigator on the front lines of fighting fraud. You will be responsible for (a) manually reviewing and investigating fraud alerts and incidents across our project globally, (b) monitoring our fraud platform for anomalous activity and taking decisive action, (c) ensuring high-quality investigation processes.

• Monitor real-time events/transactions flagged for fraud and abuse and manually review them using fraud subject matter expertise

• Lead root cause analysis to identify opportunities to predict, prevent, and mitigate fraud risk according to business expectations

• Investigate individual events using internal policies and review methodologies to determine if the transactions/events are fraudulent or not

• Understand our products, systems and tools; investigate behavioral patterns through data analysis using SQL and other data scripting and visualization tools

• Research fraud and user behavior to contribute to machine learning models, rules and other detection systems in partnership with our Fraud Data Science team

• Triage and forensically investigate fraud related escalations from internal and external stakeholders in a professional and efficient manner

• Bachelor's degree in a quantitative field

• 5+ years of experience in investigating and resolving fraud incidents

• Experienced in analyzing data and comfortable making impactful decisions in a fast-paced and sometimes ambiguous environment

• 3+ years of experience working with data; proficient in SQL

• Programming experience in at least one high-level programming language (e.g., Python)

• Attention to detail and ability to multitask

• Excellent problem-solving and analytical skills

• Strong business judgment and communication skills

• Availability during periods of heightened risk (including on weekends and holidays)

• Work experience in fintech, payments, lending, banking, or financial institutions is a plus

• Ideal candidate will be available to start within two weeks following an offer

Munich or San Francisco. If located elsewhere, candidates are expected to relocate to one of these two locations.

The reasonably estimated salary for this role at TFH ranges from $182,000 - $215,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!

By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR.