Hiring a Junior Research Scientist!

Join our Risks Team and work on foundation models for financial data. Several of them already run in production on bureau, transactional and graph data; your work is to extend that line to new data domains and new downstream tasks — credit risk, acquisition, anti-fraud, LTV forecasting.

What we're looking for:

• Strong mathematical foundation and understanding of machine learning and deep learning
• Hands-on experience with Python, PyTorch and LLMs through academic, research, internship or personal projects
• Ability to design experiments and analyze results rigorously
• Genuine interest in AI research and state-of-the-art ML approaches
• B1+ English for working with an international team

Bonus points for:

• Research publications in machine learning or deep learning
• Personal AI/ML projects or startup experience
• Internships in research, ML or DL teams
• Experience working with GPUs, transformers or self-supervised learning
• Ability to connect technical ML improvements with measurable business impact

You don't need years of industry experience — we're looking for strong talent who wants to work on big, complex ML problems with real-world impact.

Sound like you? Apply here