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 fieldExperience with BI tools such as Power BI, Qlik, or Tableau and strong proficiency in SQL and Python for data manipulation and modelingExperience with statistical modeling and machine learning techniquesAdvanced Excel skills, including Power Query and VBA and familiarity with machine learning (ML) and generative AI (GenAI) applications in financeKnowledge of data warehousing concepts and ETL processesUnderstanding of treasury functions, including cash management, FX, liquidity, and riskProficient in English, other languages are a plusThis 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.