Junior Fraud Analyst

Flip.id; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading company in the financial services industry is seeking a Fraud Analyst to enhance security measures and protect customers from fraud. This role involves analyzing data for fraudulent patterns, implementing risk mitigation strategies, and collaborating with various teams to improve operational practices. Ideal candidates are fresh graduates with strong analytical skills and proficiency in SQL and scripting languages.

Qualifications

• Fresh graduates welcome.
• Experience in fraud detection or data analytics preferred.
• Ability to design collaborative processes.

Responsibilities

• Identify and analyze patterns indicating fraudulent behavior.
• Implement solutions to mitigate fraud risks.
• Influence organizational operations to increase fraud awareness.

Skills

SQL

Python

R

Statistical inference

Data analytics

Education

Bachelor's degree in Computer Science, Mathematics, or relevant majors

Job description

About the Role
As a Fraud Analyst at Flip, you will play a crucial role in safeguarding our company and our customers from fraudulent activities. Your analytical skills and technical expertise will be vital in identifying and mitigating fraud risks. You will work closely with various departments to implement effective solutions, influence operational practices, and drive strategic decisions. Your contributions will directly impact our ability to provide a secure and trustworthy experience for our users.

About Flip

What You’ll Do:

1. Identify & analyze patterns, trends, and anomalies that indicate fraudulent behavior based on data.
2. Implement solutions to mitigate fraud/risk through rules, product fixes, third-party integrations, etc.
3. Influence and improve organizational operations with a focus on increasing fraud/risk awareness.
4. Contribute to cost-saving initiatives for the company.

What You'll Need:

• Fresh graduates from Computer Science, Mathematics, or relevant majors are open.
• 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.
• Experience in fraud detection, data analytics, or related fields within the financial services industry is preferred.
• Ability to design and implement collaborative processes with operations, product, and engineering teams.
• Proven track record of acting as a thought partner to product or engineering leaders, driving strategic decisions using data.