• Hybrid
• Madrid , Spain

Qualifications

• Strong analytical and quantitative background, with hands‑on experience in model development or data‑driven problem‑solving.
• At least 2 years of experience as quant/data scientist, experience in credit risk and time series modelling will be particularly valued (credit decisioning, IRB, IFRS9, Stress testing)
• Fluency on at least one of the following programming languages: Python, SAS, R and SQL.
• Excellent communication and presentation skills, with the ability to explain complex analyses to non‑technical audiences.
• Fluency in English and Spanish (including the ability to write professional reports). Other languages will be valued.
• Willingness to travel regularly for client work is essential.

Nice to have

• Experience with PySpark and big data frameworks (e.g., Databricks, Hadoop) is a strong plus.
• Knowledge of r...