Data Analyst - Fraud & Risk Platform

Indodana; Jakarta Pusat; On-site; IDR 89,280,000 - 133,920,000; Full time

Job summary

Indodana is seeking a Fraud Analyst to identify emerging fraud patterns through data analysis and metrics tracking, mitigating risks and improving detection strategies. You will collaborate with Risk, Data Science, Engineering, Product, Operations, and other teams to ensure proper enforcement of fraud rules.

The role includes defining and optimizing operational fraud metrics for long-term tracking. The ideal candidate holds a relevant Bachelor's degree and 1+ years antifraud experience, with

Qualifications

• Bachelor's degree in CS/informatics/engineering from a reputable university.
• 1+ years antifraud/risk experience (fresh graduates welcome).
• Knowledge of SQL and BigQuery or similar.
• Strong communication and interpersonal abilities.
• Strong analytical skills and self-motivated with good control attitude.
• Proficient in English.

Responsibilities

• Identify new fraud and abuse trends via data analysis and metrics tracking to mitigate risks.
• Collaborate with Risk, Data Science, Engineering, Product, Operations, and others to enforce fraud rules and detection strategies.
• Assess, define, and optimize operational fraud metrics for long-term monitoring.

Skills

Communication skills

Analytical skills

English proficiency

Education

Bachelor's degree in computer science / 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