About this role
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
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Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models.
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Prototyping diverse machine learning models, from credit risk to growth related models.
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Researching & Development on how to improve our models, by using our vast amount and unique set of data.
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Actively contribute to taking Data Science at Kredivo to the next level. About you:
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Minimum >5 years of relevant work experience.
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Masters, PhD or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
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Capable of building robust end-to-end predictive models using the latest Machine Learning techniques and methodologies.
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Proficiency in Python or R.
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Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
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Excellent English communication skills. Bonus points (optional) for:
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Experience with alternate data to evaluate credit risk.
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Experience in building end-to-end Deep Learning and/or NLP models.
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NON NEGOTIABLE - Deep risk domain expertise, building credit risk modelling (3-4yrs)
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Independent and good communication skills
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Strong in statistics and math
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Good to have: Experience working in finance institute