"fraud detection" Jobs
377 open tech roles matching “fraud detection”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 377 results
Join Mercury as an AML Investigator III to combat financial crime and enhance transaction monitoring processes.
Lead the Model Risk Management team at Affirm, focusing on validating machine learning models for credit and fraud detection in a remote-first environment.
Join Affirm as a Quantitative Analytics Lead to enhance model risk management in a remote-first environment.
Join Coinbase as a Payments Risk Analyst I to combat payments fraud and enhance operational efficiency.
Join Coinbase as a Payments Risk Analyst I to combat payments fraud and enhance operational efficiency.
Join Truecaller as a Senior ML Engineer to design and deploy ML models that enhance communication safety and efficiency.
Join Shift Technology as a Data Science Intern to work on AI solutions for the insurance industry.
Architect and scale trust infrastructure to protect 70M+ users while fostering a creative environment at Gamma.
Lead the development of AI-driven applications for risk and fraud management at a growing startup.
Join Rain as a Financial Crimes & Risk Data Analyst to enhance transaction monitoring and risk analytics in a fast-growing fintech company.
Lead a team of Operations Associates in Fraud Operations at Stripe, focusing on performance and operational excellence.
Safeguard Stripe's financial ecosystem by responding to fraud incidents and improving security posture for merchants.
Lead a team of engineers in enhancing Stripe's risk management features to improve merchant experiences.
Lead ads fraud detection and enforcement strategies in a remote-friendly role at Reddit.
Serve as a Subject Matter Expert on election integrity and fraud, ensuring Reflection's models meet safety and compliance standards.
Own technical direction for screening and detection systems in a team focused on financial crimes at Stripe.