Ebury is a hyper-growth FinTech firm, named as one of the top 15 European Fintechs to work for by AltFi. We offer a range of products including FX risk management, trade finance, currency accounts, international payments, and API integration.
Senior Data Scientist - Fintech
Madrid Office - Hybrid. 4 days in the office, 1 day working from home.
Join Our Data Team at Ebury Madrid Office
Ebury is seeking a Senior Data Scientist to join our Analytics team. You will collaborate with business stakeholders to gather requirements and deliver data-driven insights that drive growth across multiple verticals. Ebury's strategic growth plan relies heavily on the contributions of our Data Science team, and we are looking for enthusiastic, proactive, and curious Data Scientists who are eager to thrive in a dynamic and challenging environment.
Why should you join Ebury?
Want to work in a high-growth environment? We are always growing. Want to build a better world? We believe in inclusion. We stand against discrimination in all forms and have no tolerance for the intolerance of differences that makes us a modern and successful organisation. At Ebury, you will find an internal group dedicated to discussing how we can build a more diverse and inclusive workplace for all people in the Technology Team.
If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway. Get ready to take your career to the next level. If there's something that you can do in our Tech team, it is growing professionally. Thanks to our career path and our collaborative and cross-working teams, every day is a new adventure.
What we offer:
1. Variety of meaningful and competitive benefits to meet your needs.
2. Competitive salary.
3. Continuous professional growth thanks to our career progression framework with regular reviews.
4. An equitable process implemented through a performance-based bonus.
5. Allowance to take annually paid time off as well as during local public holidays.
6. Continued personal development through training and certification.
7. Being part of a diverse technology team that cares deeply about culture and best practices, and believes in agile principles.
8. We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects.
Responsibilities:
1. Drive innovation in credit risk modelling by identifying opportunities for improvement, experimenting with new methodologies, and continuously refining models to enhance accuracy and performance.
2. Lead the development of predictive models for Credit Risk and Lending, using advanced machine learning techniques and Python in a GCP environment to optimise decision-making and risk assessment.
3. Leverage Large Language Models (LLMs) to process and analyse unstructured data, enhancing insights and improving credit risk modelling processes.
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