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.
