Postúlate en Kit Empleo: kitempleo.es/empleo/6u86gr

- 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 regulatory frameworks (e.g., BCBS 239, CRR/CRD, EBA Guidelines).
- Understanding of machine learning algorithms, AI / Generative AIand data visualisation tools (Power BI, Tableau, matplotlib).
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Postúlate en Kit Empleo: kitempleo.es/empleo/6u86gr

📌 Spain | Risk Management Consultant Analytics (España)
🏢 True North Partners
📍 España