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:

• 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

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.