Data Analyst - Fraud & Risk Platform

Cermati Fintech Group; Jakarta Pusat; On-site; IDR 144,000,000 - 192,000,000; Full time

Job summary

Cermati Fintech Group in Jakarta is seeking a Fraud Analyst to identify and mitigate fraud trends through data analysis and metrics tracking. You will collaborate with Risk, Data Science, Engineering, Product Management, Operations, and other teams to enforce effective fraud prevention rules.

You will assess and define operative fraud metrics for long-term tracking and work with stakeholders to optimize detection strategies.

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

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

Skills

Analytical skills

Communication

Self-driven

Control attitude

Education

Bachelor's degree in CS/ Informatics/ CE

Tools

SQL

BigQuery

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

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

• 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