Fraud Data Scientist
Forsyth BarnesSan Francisco, CA, United States20 hours ago
Job type
- Full-time
Job description5+ years of experience in data science, data engineering, or a dual role; exceptional candidates with slightly less experience may be considered. Strong experience in RegTech, financial crime, fraud detection, or compliance systems. Prior experience at a KYC / KYB provider, AML team, or financial institution is highly desirable (e.g., fraud teams at fintechs like PayPal). Hands?on builder who thrives in a fast?moving startup environment. Comfortable working across international time zones. Side projects, personal builds, or contributions to the data community are a strong indicator of fit.
Contact
Tommy.Harris@
About the Company
Our client is an early?stage pre?seed RegTech startup focused on KYB / KYC and fraud prevention, backed by top?tier advisors and preparing for their next funding round next year. They are on a mission to transform compliance and fraud detection through innovative data?driven solutions.
The Role
They are looking for a hands?on, highly motivated Data Scientist / Data Engineer to join their founding team. This is a unique opportunity to help build data infrastructure, labeling pipelines, and analytics capabilities from the ground up. Youll work across the full data stack, shaping the companys data strategy and solutions.
Key Responsibilities
- Build and maintain data infrastructure and labeling pipelines.
- Develop models and analytics for fraud prevention and KYB / KYC processes.
- Collaborate closely with a small IT team (currently 5 members) and advisors.
- Own projects end?to?end : design, implement, test, and iterate solutions.
- Translate complex business problems into actionable data?driven solutions.
Candidate Profile
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Data Scientist • San Francisco, CA, United States
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