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