Risk software engineer
Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a few critical insights for end-users.
Signifyd is seeking Risk Software Engineers to join our Risk Product and Operations Team. The ideal candidate will have excellent programming skills as well as business analytical skills. Work experience in fraud detection, finance or insurance industry is highly desirable.
Work with subject matter experts to ideate, simulate, deploy and monitor application level code to continuously improve our fraud detection efficiency. Drive product features and data needs to improve business application lifecycle.
Excellent programming skill in Java, or similar languages
Experience with scripting languages (e.g. Python) and SQL
Analytical problem solving skills
Experience with rule engine
Work experience in fraud detection, finance or insurance industry
BS or higher degree in Computer Science, Electrical Engineering, or related field
Posted by employer
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