Data Analyst - Fraud & Risk Platform

Data analyst role focused on identifying fraud and abuse trends through data analysis, collaborating with internal stakeholders on fraud prevention rules and detection strategies, and defining and optimizing operational fraud metrics.

Responsibilities

Identify new, emerging fraud and abuse trends/patterns through data analysis and metrics tracking to mitigate risks; Collaborate with internal stakeholders (Risk, Data Science, Engineering, Product Management, Operations, and others) to ensure proper enforcement of fraud prevention rules and detection strategies; Assess, define, and optimize relevant operational fraud metrics for long-term tracking

Requirements

Bachelor's degree in computer science, informatics, computer engineering, or a related field from a reputable university; 1+ years experience in antifraud/risk (Fresh Graduate are welcome to apply); Knowledge in SQL / Bigquery, etc.; Good communication and interpersonal skills; Good analytical skills; Highly motivated, self-driven and strong control attitude; Proficient in English language