Sr Data Scientist
Jakarta
Technology – Data Scientist - Credit Scoring /
Full-time - Permanent /
On-site
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!
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.
Requirements
- 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.
Bonus Point If
- Prior working experience from banking sector, especially from area of debt collection
We exist to innovate and maintain the architecture of Amar Bank's products. As part of our main focus to create through technology we ensure the process and technology we use helps maintain and build human connection at scale.
It’s our job to plan, monitor, and control the technology growth so we can provide a faster, more convenient, and more efficient way of performing business transactions.
