Data Analyst - Fraud & Risk Platform

On-siteJuniorData AnalystJust posted

✦Role summaryAI-generated

The analyst will examine transaction data to uncover emerging fraud patterns and develop metrics for ongoing risk monitoring. They will work closely with risk, data science, engineering, and product teams to implement and refine fraud prevention rules.

Skills required

SQL BigQuery Data analysis Fraud detection Metrics tracking Statistics Data science Product management

About this role

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
Proficient in English language

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