- 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 :
- Bachelors 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
Remote Work :
No
Employment Type :
Full-time
Identify new emerging fraud and abuse trends/patterns through data analysis and metrics tracking to mitigate risksCollaborate with internal stakeholders (Risk Data Science Engineering Product Management Operations and others) to ensure proper enforcement of fraud prevention rules and detection strat...
- 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 :
- Bachelors 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
Remote Work :
No
Employment Type :
Full-time
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