Data Scientist

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 :

Bachelor’s or Master’s 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

This is an exciting and challenging opportunity for an experienced treasury professional to join a highly successful and growing company and make a significant impact on the organization's financial performance. If you are a results-oriented individual with a strong track record in treasury analytics, we would love to hear from you.