"fraud analysis" Jobs
434 open tech roles matching “fraud analysis”, 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 434 results
Lead the strategy and execution of Kraken's payments and banking fraud prevention programs in a global role.
Investigate high-risk accounts and lead incident response for fraud events at Stripe.
Lead the strategy and execution of Kraken's payments and banking fraud prevention programs in a global role.
Join Stripe's Fraud Data Science team to build and improve models for fraud detection and loss management systems.
Investigate and mitigate fraud incidents to safeguard Stripe's financial ecosystem while collaborating with cross-functional teams.
Investigate and mitigate fraud incidents to safeguard Stripe's financial ecosystem while collaborating cross-functionally.
Join Flex as a Senior Staff Decision Scientist to lead fraud prevention strategies in a dynamic FinTech environment.
Join Rain as a Fraud Risk Support Analyst to protect customers and enhance fraud detection in a fast-growing fintech environment.
Lead a high-performing fraud investigations team at Stripe, focusing on risk mitigation and user experience.
Join Coinbase as a Payments Risk Analyst to mitigate fraud risk across fiat payment rails in a dynamic, 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 Stripe as an Abuse Research Engineer to proactively hunt for advanced threats and safeguard the financial ecosystem.
Join TRM Labs as a Global Investigator to combat scams and recover funds using blockchain analysis and AI tools.
Join Rain as a Financial Crimes & Risk Data Analyst to enhance transaction monitoring and risk analytics in a fast-growing fintech company.
Join Rain as a Machine Learning Engineer to build scalable systems for fraud detection in a fast-paced, hybrid work environment.