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 have managed to get listed on the Indonesian Stock Exchange. 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. We have then undergone a significant digital transformation to become one of the country’s forerunning fintech institutions through its award‑winning digital lending platform, Tunaiku.
Responsibilities- Model Selection and Optimization: involved in selecting advanced models, optimizing hyperparameters, and improving model performance.
- Leadership: lead projects, guide junior team members, and provide strategic input on data science initiatives.
- Decision-Making: making decisions on the overall data science strategy and direction for the organization.
- Complex Problem Solving: tackling more complex and nuanced business problems using advanced analytical techniques.
- Collaboration and Communication: interacting with cross‑functional teams and stakeholders to understand business goals and translate them into data science solutions.
- Education: master's or Ph.D. in a quantitative field with several years of relevant work experience.
- Experience: proven track record of successful data science projects and a deep understanding of various machine learning algorithms.
- Advanced skills: proficiency in advanced statistical methods, deep learning, and other complex analytical techniques (modeling with R, Python, SQL, or similar tools).
- Business acumen: understanding of the business context and the ability to align data science initiatives with organizational goals.
- Communication skills: strong communication skills in English to explain complex concepts to non‑technical stakeholders.
- Prior working experience from banking sector, especially from area of debt collection.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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