Junior Fraud Data Analyst — Risk, Insights & Growth

Stie Yai; Jakarta Pusat; On-site; IDR 100,440,000 - 156,240,000; Full time

Job summary

Stie Yai is seeking a data-oriented role focused on fraud detection and risk analytics. Fresh graduates will analyze patterns, trends, and anomalies to identify fraudulent behavior and support mitigation through rules and integrations.

You will collaborate with product and engineering, transform raw data into actionable datasets, and drive data-driven decisions in a fast-growing startup environment.

Qualifications

• Fresh graduate from Computer Science, Mathematics, or relevant majors.
• Proficiency in SQL and at least one scripting language, ideally Python or R.
• Ability to use statistical inference and experimentation to drive actionable recommendations.
• Comfort with transforming raw data to build custom data sets when necessary.
• Aptitude for selecting the right tools to maximize efficiency, balancing speed and accuracy.
• Experience working in a fast-growing start-up environment.
• Preferred experience in fraud detection, data analytics, or related fields within the financial services industry.
• Ability to design and implement collaborative processes with operations, product, and engineering teams.
• Proven track record as a thought partner to product or engineering leaders, driving strategic decisions using data.

Responsibilities

• Identify and analyze patterns, trends, and anomalies indicating fraudulent behavior based on data.
• Implement solutions to mitigate fraud and risk through rules, product fixes, and third-party integrations.
• Influence and improve organizational operations to increase fraud and risk awareness.
• Contribute to cost-saving initiatives for the company.

Skills

SQL

Python/R

Statistical inference

Data transformation

Fraud detection

Startup experience

Cross-functional collaboration

Problem solving

Education

Bachelors in CS/Math or related

Job description

Stie Yai is seeking a data-oriented role focused on fraud detection and risk analytics. Fresh graduates will analyze patterns, trends, and anomalies to identify fraudulent behavior and support mitigation through rules and integrations.

You will collaborate with product and engineering, transform raw data into actionable datasets, and drive data-driven decisions in a fast-growing startup environment.