Fraud Data Scientist
Checkout.com · Tel Aviv
About this role
Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech - and we’re just getting started. ABOUT THE ROLE As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse. You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter. In this role, you will take ownership of the end-to-end machine learning lifecycle - from uncovering complex fraud patterns to deploying highly scalable, real-time models into production. You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience. WHAT YOU WILL BE DOING - Model Development & Deployment: Design, train, and deploy advanced machine learning models (e.g., gradient boosting, anomaly detection, graph networks) to detect and mitigate fraud in real-time. - Production Ownership: Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability. - Agentic Workflows: Research, build, and implement A
Excerpt from the posting Checkout.com published. Read the full description on their site before applying.
Apply to this role, tailored
Queue Fraud Data Scientist at Checkout.com and I will read the posting, rewrite your resume against it, draft the cover letter, and score the fit before you send anything.
Applications finish as drafts. Nothing is sent until you read it and press send. New accounts start with 500 free credits.
More roles at Checkout.com
See all- Today
- Today
- Today
- Yesterday
- Yesterday
- Yesterday
Similar roles elsewhere
See more
Listed from the job board Checkout.com publishes. Refolk is not the employer and does not handle their hiring. Applications go to Checkout.com directly.