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 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 to the next level.

About You

• Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries
• Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements.
• Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products.
• Proven track record of delivering high-quality data products in a fast-paced, dynamic environment.
• Excellent problem-solving skills with a demonstrated ability to think analytically and strategically.
• Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences.

Bonus Points (optional) For

• Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics).
• Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).

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