Overview
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
Full job description
Full job description
- 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 and requirements
- 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
- Proficient in English language
Requirements & 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
- Proficient in English language
Tips for this job
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- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
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- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered from the employer’s public SmartRecruiters Posting API. The public detail endpoint was fetched and its job-ad sections were normalized into a complete, safe candidate-facing description.
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