Junior Fraud Analyst

Paramadina; Jakarta Pusat; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Paramadina is seeking a fresh graduate to join our Fraud Analytics team in Jakarta. The role focuses on identifying patterns, trends, and anomalies to detect fraudulent activity and drive data-informed decisions.

You will implement rules and solutions to reduce risk, working closely with product and engineering teams to improve processes and awareness. The ideal candidate will have SQL skills and proficiency in Python or R, with a flair for statistical inference and turning raw data into

Qualifications

• Fresh graduate in 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.

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

Education

Fresh graduate in Computer Science or Mathematics

Job description

Your Role

Key responsibilities include:

• 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.

About You

The company is looking for:

• 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.