Data Analyst - Fraud & Risk Platform

Indodana; Jakarta Pusat; On-site; IDR 133,920,000 - 223,200,000; Full time

Job summary

Indodana is seeking a Fraud Analyst to identify emerging fraud trends through data analysis and metrics. You will work with Risk, Data Science, Engineering, and Product teams to enforce fraud prevention rules and improve detection strategies.

Responsibilities include defining and tracking operational fraud metrics, collaborating across stakeholders, and continuously optimizing risk controls to mitigate losses while supporting business growth.

Qualifications

• Bachelor's degree in CS, Informatics, or related field.
• 1+ years antifraud/risk experience; fresh graduates welcome.
• Proficient in SQL and BigQuery; data-driven mindset.
• Strong communication and analytical skills.
• Self-motivated with a strong control mindset.

Responsibilities

• Identify new fraud trends via data analysis to mitigate risks.
• Collaborate with Risk, Data Science, Eng, PM, and Ops to enforce rules.
• Define and optimize operational fraud metrics for long-term tracking.

Skills

Communication skills

Analytical skills

Interpersonal skills

Self-motivation

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