"fraud detection" Jobs
373 open tech roles matching “fraud detection”, taken straight from company career pages — not reposted from other job boards. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 373 results
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.
Join Gamma as a Trust & Safety Engineer to protect millions of users from fraud and abuse while leveraging AI technologies.
Lead compliance efforts for AML/BSA, KYC/KYB, and fraud detection in a growing fintech company.
Join Shift Technology as a Data Science intern to work on AI solutions for the insurance industry in a diverse and innovative environment.
Lead a team of data scientists to develop fraud detection models in a fast-paced startup environment.
Lead the ML systems for identity verification at Coinbase, ensuring the integrity of millions of accounts.
Lead the development of advanced Machine Learning models to combat financial crime at Monzo, a fast-growing fintech company.
Join Twilio as a Compliance Operations Specialist to monitor product usage and ensure compliance with policies.
Lead the Fraud Intelligence Team at SentiLink to enhance fraud prevention and operational efficiency in a fully remote role.
Lead a team of data scientists in developing fraud detection models for a rapidly growing identity verification startup.
Join SentiLink as an Applied ML Scientist to develop fraud detection models in a fast-paced, innovative environment.
Join Middesk as a Data Scientist to build AI-driven applications for fraud detection and risk management in a collaborative hybrid environment.
Join SentiLink as a Research Scientist to develop machine learning models for fraud detection in a fast-paced environment.