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Senior Data Scientist (Risk)
Kredivo Group
posted 4mon ago
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Job 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 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 and at least 2 years experience in managing a team.
- 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).
Thank you for your interest in Kredivo. We re thrilled that you d like to join our company. Unfortunately, days are short and applicants are many, so we won t have time to meet everyone. If you are among qualified candidates, you will receive a call or email from our Talent Acquisition team.
Employment Type: Full Time, Permanent
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