At a Glance
- Tasks: Lead consumer credit data science and impact millions with pricing and credit limit modelling.
- Company: Join Moniepoint, a global fintech innovating in the financial sector.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic, high-growth environment with a focus on collaboration and mentorship.
- Why this job: Shape risk assessment and product design while making a real difference in people's lives.
- Qualifications: Experience in data science and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
Moniepoint, a global fintech, is seeking a hands-on Spain-based Data Science Manager to lead consumer credit data science in a high-growth environment.
You will own pricing, credit limit modelling, and production model deployment impacting millions of customers.
You’ll collaborate with Consumer Credit, Product, and Engineering to shape risk assessment, product design, and portfolio performance at scale, while mentoring squads and driving data-driven decision making.
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Credit Data Science Manager — Spain employer: Democrance
At Moniepoint, we pride ourselves on being an exceptional employer that prioritises the well-being and growth of our team members. Our vibrant work culture fosters collaboration and innovation, allowing Product Managers to thrive in a fast-paced environment while driving impactful outcomes for millions across Africa. With a strong focus on learning and development, competitive compensation, and a commitment to valuing every voice, Moniepoint is the ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Credit Data Science Manager — Spain
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We think you need these skills to ace Credit Data Science Manager — Spain
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Democrance
✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
