Fraud Prevention Analyst II
dLocalWhat You'll Do
Continuously analyze transactional data to identify emerging fraud patterns and attack vectors. Design, test, and iterate rules that minimize fraud while safeguarding conversion and UX. Collaborate with Data Science to enhance features, refine model rules, and set optimal scoring thresholds.
What We're Looking For
Bachelor’s degree in Economics, Engineering, Statistics, or related field. 3+ years in fraud prevention or a closely related risk domain. Strong SQL and experience working with large datasets.
Key Skills & Technologies
Additional Information
Experience Level
Mid-Level
Job Language
English
Employment Type
Full-time
Work Mode
Remote