Fraud Data Analyst at Amar Bank

Helsinki, Uusimaa, Finland -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fraud Detection, Data Analysis, Risk Modeling, Behavioral Data Analysis, Transactional Data Analysis, Identity Fraud Detection, Shell Entity Identification, Document Manipulation Detection, Data Instrumentation, Fraud Signal Definition, Anomaly Detection, Stakeholder Communication, Cross-functional Collaboration, Querying Tools, Visualization Tools

Industry

Banking

Description

Who are we? Amar Bank is one of the most technologically advanced digital banks in Indonesia. Our leading digital lending product, Tunaiku has the distinction of being the first FinTech product in Indonesia. We are also the first digital bank on the cloud. As the first profitable digital bank, we managed to get listed on the Indonesian Stock Exchange. How did we manage to do that? We are changing people’s perception of a bank. We believe we are the innovators who combine customer focus principles with creating technology-based impact. We incorporate freedom and flexibility as part of our startup working culture DNA to encourage innovation in creating better financial solutions for the banking industry. We think of ourselves as, ‘A technology company with a banking license’. For this reason, we ‘Act like a FinTech, and think like a Bank.’ How did it all start? Founded on March 15, 1991, in Surabaya as PT Anglomas International Bank (Amin Bank), the bank was acquired by Tolaram Group and transformed to PT Bank Amar Indonesia (Amar Bank) in 2014. It has then undergone a significant digital transformation to become one of the country's forerunning fintech institutions through its award-winning digital lending platform, Tunaiku. Our philosophy, mission, and vision Technology must impact lives, must improve lives. We exist to provide banking to those who ‘need’ and not only to those who ‘want’. Services when provided to those who need at the time of their need brings smiles. Our vision is to bring 200 million smiles. More about the bank with startup culture environment Consist of 1000+ people, you will meet people who love to grow, dream big, and actually have fun at the workplace! We provide a great working environment that pushes people to grow outside their comfort zone. People with high drive and ambition find us a very attractive place to work as their career growth matches their own drive and not any staid policies. Thus we hold the honor of being awarded “Best Place to Work in Indonesia”.Recently Amar Bank was awarded as Inspirational Brand from APEA (Asia Pacific Enterprise Awards) 2022. Of course, our innovation won't stop here. So if you would love to be a part of it, have a growth mindset, and are constantly hungry for challenges, we invite you to join us in our journey to ‘Impact Lives’. Join us today and create #unlimitedinnovations! \n 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. \n

Responsibilities

The Fraud Data Analyst will collaborate with product and engineering teams to define fraud signal requirements and implement detection logic. They will also conduct deep-dive investigations into high-risk users and transactions to identify new fraud typologies.