Key Responsibilities
- Data Instrumentation: Collaborate with Product and Engineering to define requirements for capturing fraud signals.
- Analysis & Detection: Identify anomalies, suspicious patterns, and credit fraud indicators like manipulated documents or synthetic identities.
- Investigation: Conduct deep dives into high-risk users and transactions to uncover new fraud typologies.
- Logic Implementation: Translate insights into fraud detection rules, monitoring systems, and risk models.
Requirements
- Years of Experience: Minimum of 5 years in fraud-related roles within Financial Services (Banking, Fintech, or Digital Lending).
- Education: Bachelor’s degree in Finance, Engineering, Data Science, Statistics, Computer Science, or a related field.
- Skills: Proficiency in identifying patterns and anomalies in behavioral and transactional data.
- Technical Knowledge: Understanding of fraud typologies (identity fraud, shell entities, document manipulation) and familiarity with querying/visualization tools.
- Collaboration: Ability to work across teams (Product, Risk, Engineering) and communicate recommendations clearly to stakeholders.
Bonus Point
- Experience in credit fraud or trust & safety analytics.
- Work history involving device data, behavioral signals, or real-time monitoring tools.
- Experience contributing to fraud models or scoring systems.
What We Do
Amar Bank is transforming banking for the digital era since 2014. We're all about supporting small businesses and those who don't have access to conventional banks. Our AI and cloud technology hooks you up with personalized ways to save, pay, and handle your finances. Meet our star player: Tunaiku! As of 2023, Tunaiku has served more than 14 million loan applicants, enabling those who are in need to access over IDR 9 trillion loans. At Amar Bank, we aim to make a meaningful impact on the lives of our customers. Get ready to level up with our epic innovations! PT Bank Amar Indonesia Tbk is a participant in LPS guarantee, licensed and supervised by OJK.

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