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Kredivo Group

Senior Data Scientist

Kredivo Group Special capital Region of Jakarta, Java, Indonesia

Financial Services · 1,001-5,000 employees

Sep 07
data-scientist Senior (5-10 yrs) Full-time Indonesia
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About the role

You will take full ownership of the end-to-end machine learning lifecycle, from idea generation to the implementation of models. The role involves working in a multi-disciplinary team to develop predictive models, including credit risk and growth-related applications.

What they look for

Machine Learning Python R Credit Risk Modeling Statistics Mathematics Predictive Modeling RDBMS MySQL PostgreSQL No-SQL S3 Deep Learning NLP Data Science Econometrics

Requirements

Candidates must have at least 5 years of experience and a postgraduate degree in a quantitative field. Deep expertise in credit risk modeling and proficiency in Python or R are mandatory requirements.

Full description

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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