Key Responsibilities
Process Improvement & Digital Transformation
- Analyze existing treasury processes, identify bottlenecks, and propose engineering-driven improvements.
- Lead or support digitalization initiatives such as low-code automation, RPA, and smart workflows.
- Promote technology adoption within the Treasury team and collaborate with Finance, IT, and Shared Services.
Treasury Data Governance & Risk & Controls
- Implement automation to enhance internal controls around payments, approvals, and audit trails.
- Support compliance with treasury-related policies and audit requests.
- Assist in monitoring financial risks (liquidity, FX, counterparty).
Treasury Reporting & Analytics
- Partner with IT to develop dashboards and reporting tools for:
- liquidity KPIs
- funding and investment portfolios
- FX exposures and hedge performance
- working capital metrics
- Support Treasury, Finance, IT and Leadership teams with automated reports and insights.
Treasury Data Engineering
- Design, build, maintain Treasury Data Architecture framework to create a most optimized data collection to data processing, data processing to data analysis, data analysis to data reporting data workflow.
- Build and maintain ETL pipelines for treasury data (balances, rates, statements, payments).
- Develop data models that support treasury analytics and regulatory reporting.
- Ensure data quality, consistency, and traceability across all financial systems.
- Own and define Treasury internal communication terminology.
Required Skills & Qualifications
- Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent.
- Strong hands-on experience with Python for automation and scripting.
- Proficient with RPA tools (UiPath / Automation Anywhere / Power Automate Desktop).
- Solid experience in Power Automate (Cloud & Desktop).
- Expertise in Power BI, DAX, Power Query, and dashboard design principles.
- Strong SQL skills for data manipulation and analysis.
- Understanding of API integration, JSON, REST, and cloud-based services.
- Experienced in finance & Treasury related working experience is a plus.
- Excellent analytical skills with strong problem-solving abilities.
- Ability to manage multiple projects and work with cross-functional teams.
Preferred Qualifications
- Experience with Azure, Microsoft 365 ecosystem, or similar cloud platforms.
- Knowledge of data warehousing, ETL concepts, or automation frameworks.
- Experience in process mapping (BPMN), Lean processes, or Six Sigma projects.
- Certification in Python, RPA, Power BI, or Microsoft Power Platform.