Salary
≈ $37k – $69k per year (Estimated)
Location
In office (Singapore)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Sep 17, 2026. Kredivo Group scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Kredivo Group is a Southeast Asian financial technology group based in Singapore that offers digital consumer credit, including buy now pay later financing for online and offline purchases, personal loans and digital banking. Its brands are Kredivo in Indonesia and Vietnam, KrediFazz, the Indonesian digital bank Krom, the earned wage access platform GajiGesa and the Vietnamese neobank Timo, and its backers include Mizuho Bank, Amazon and Square Peg Capital. It hires backend, Android, QA and data engineers, data scientists, product managers, and underwriting, fraud, collection and portfolio analysts.
Backed by 500 Global, GMO VenturePartners, Square Peg
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 Job:
- Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models.
- Prototyping diverse machine learning models, from credit scoring to recommendation engine.
- 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 Group to the next level.
About you:
- Minimum 2 years of relevant work experience.
- Graduated from the major of or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
- Capable to build 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.
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