Senior Fraud Data Scientist
Core
Design and lead end-to-end fraud prevention strategies, rules, and controls to protect users and safeguard funds on a global crypto and Web3 platform.
Role type
Senior IC fraud data scientist (risk strategy & detection)
Builds
Fraud detection systems, risk controls, and monitoring dashboards for a digital asset exchange
Domain
Fintech / Cryptocurrency / Fraud Risk Management
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Fraud detection strategy, risk management methodologies, SQL, Python, data analysis, visualization tools, cross-functional project leadership
Preferred skills
Account takeover detection, synthetic identity fraud, distributed attacks, payment fraud, collusion detection, ACH risk analysis, card-not-present fraud, scam/phishing/social engineering mitigation, dispute representment, financial markets knowledge
Technologies
SQL, Python, Looker
Responsibilities
Design and lead development of fraud prevention strategies, rules, and controls; Conduct sophisticated data analysis on large datasets to identify emerging fraud trends; Monitor system performance and implement data-driven enhancements to reduce false positives; Partner with product, engineering, and compliance teams to integrate fraud prevention; Oversee initiatives advancing fraud detection systems; Develop and deliver actionable reports on fraud risk exposure to leadership
Seniority
Senior, hands-on IC with strategic leadership