"fraud detection" Jobs
35 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, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 35 results
Lead the incident response team at Stripe to safeguard the financial ecosystem against fraud and abuse.
Lead the growth strategy for Chainabuse, a consumer fraud reporting platform, in a dynamic and mission-driven environment.
Lead incident response for fraud and abuse at Stripe, enhancing security measures across a global platform.
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.
Lead the development of AI-driven applications for risk and fraud management at a growing startup.
Lead a team of Operations Associates in Fraud Operations at Stripe, focusing on performance and operational excellence.
Lead a team of engineers in enhancing Stripe's risk management features to improve merchant experiences.
Lead compliance efforts for AML/BSA, KYC/KYB, and fraud detection in a growing fintech company.
Lead a team of data scientists to develop fraud detection models in a fast-paced startup environment.
Lead the development of advanced Machine Learning models to combat financial crime at Monzo, a fast-growing fintech company.
Lead a team of data scientists in developing fraud detection models for a rapidly growing identity verification startup.
Lead the Data Sources platform at Truv, enhancing data ingestion and fraud detection capabilities.
Lead the Abuse Research Group at Stripe, focusing on proactive threat identification and mitigation.
Lead a distributed engineering team focused on payments, fraud prevention, and user conversion in a hybrid work environment.
Lead a team of applied ML scientists to develop fraud detection and identity verification models in a rapidly growing fintech company.