Data Analyst - Fraud & Risk Platform

Cermati Fintech Group; Jakarta Pusat; On-site; IDR 120,000,000 - 180,000,000; Full time

Job summary

Cermati Fintech Group in Jakarta seeks a proactive antifraud specialist to join our risk team. The role focuses on identifying new fraud patterns through data analysis and collaborating with Risk, Data Science, Engineering, and Product teams to implement effective detection rules.

You will assess and optimize fraud metrics for long-term tracking, require a Bachelor's in CS/Engineering, 1+ year antifraud/risk experience, SQL/BigQuery knowledge, strong communication, and English proficiency.

Qualifications

• Bachelor's degree in computer science, informatics, computer engineering, or 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.

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

Communication skills

Analytical skills

Self-driven

English language

Education

Bachelor's degree in CS / Informatics / Computer Engineering

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