Bachelor's degree or above with a background in Computer Science, Business Analytic, Math, Statistics, or related fields
2 years of relevant experience in one of the following areas: Antifraud, Finance Service, Risk Management, Trust & Safety
Proficiency in SQL and data analysis is required, analytical, and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations, and drive actions
Preferred Qualifications
Experience in eCommerce or Tech industry is a plus
Fundamental understanding of statistics or Machine Learning based algorithms is a plus
Proven track record of delivering results in a fast-paced environment, and driving innovation on behalf of internal and external stakeholders
Understanding of new fraud motives and sensible diagnosis of key control points, and proven communication skills in verbal and written
