As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding.
About the role:
- Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models.
- Prototyping diverse machine learning models, from credit risk to growth related models.
- Researching & Development on how to improve our models, by using our vast amount and unique set of data.
- Actively contribute to taking Data Science at Kredivo to the next level.
About you:
- Minimum >5 years of relevant work experience.
- Masters, PhD or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
- Capable of building robust end-to-end predictive models using the latest Machine Learning techniques and methodologies.
- Proficiency in Python or R.
- Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
- Excellent English communication skills.
Bonus points (optional) for:
- Experience with alternate data to evaluate credit risk.
- Experience in building end-to-end Deep Learning and/or NLP models.
- NON NEGOTIABLE - Deep risk domain expertise, building credit risk modelling (3-4yrs)
- Independent and good communication skills
- Strong in statistics and math
- Good to have: Experience working in finance institute
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Skills Required
- More than 5 years of relevant work experience
- Master's degree, PhD, or equivalent experience in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, Engineering, or Artificial Intelligence
- Ability to build robust end-to-end predictive models using modern machine learning techniques and methodologies
- Proficiency in Python or R
- Exposure to relational databases such as MySQL or PostgreSQL
- Exposure to NoSQL platforms such as Amazon S3
- Excellent English communication skills
- Deep risk-domain expertise, including 3–4 years of credit risk modeling experience
- Independent working ability and strong communication skills
- Strong statistics and mathematics skills
- Experience with alternate data for evaluating credit risk
- Experience building end-to-end deep learning or NLP models
- Experience working in a financial institution
What We Do
Kredivo Group is Southeast Asia’s leading provider of digital financial services through its brands Kredivo, KrediFazz and Krom. Kredivo is the leading digital credit platform in Indonesia and Vietnam that gives customers instant credit financing for ecommerce and offline purchases, and personal loans, based on real-time decisioning. Kredivo users can buy now and pay later across the entirety of Indonesia’s retail commerce network with one of the lowest interest rates amongst digital credit providers in the country. Krom Bank Indonesia (formerly known as Bank Bisnis Internasional, IDX: BBSI) is the group’s bank entity and the operator of the Indonesian neobank Krom. Kredivo Group is backed by leading financial and strategic investors such as Mizuho Financial Group, Square Peg Capital, Jungle Ventures, Naver Corp, Mirae Asset, Telkom Indonesia and Victory Park Capital among others
