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.