Description :

Key Responsibilities :

- Design and maintain the Treasury Data Warehouse in collaboration with data engineers and technology teams.

- Develop advanced analytics models to support Global Treasury operations, bank management, forecasting, liquidity planning, and risk management.

- Build and enhance in-house treasury data applications while ensuring data integrity across systems.

- Collaborate with treasury colleagues to translate financial questions into analytical solutions.

- Drive adoption of new technologies (ML and GenAI) and conduct exploratory data analysis to support strategic initiatives.

- Support scenario modeling and stress testing for cash flow, FX exposure, and interest rate sensitivity.

- Document models, workflows, and data pipelines for transparency and reproducibility.

Main skills/ requirements :

- Bachelors or Masters degree in Data Science, Finance, Economics, or a related field.

- Experience with BI tools such as Power BI, Qlik, or Tableau and strong proficiency in SQL and Python for data manipulation and modeling.

- Experience with statistical modeling and machine learning techniques.

- Advanced Excel skills, including Power Query and VBA and familiarity with machine learning (ML) and generative AI (GenAI) applications in finance.

- Knowledge of data warehousing concepts and ETL processes.

- Understanding of treasury functions, including cash management, FX, liquidity, and risk.

- Proficient in English, other languages are a plus.