Key Responsibilities:

• Design and implement strategic data solutions to meet the complex and comprehensive data needs for the Treasury and Balance Sheet Management (TBSM) department.
• Collaborate with cross-functional teams to understand TBSM’s strategic goals, gather business requirements, and build scalable and future-proofing solutions to facilitate efficient treasury reporting and decision-making.
• Conduct data gap analysis, develop detailed data mapping and requirements documentation, and work closely with technology teams to support solution design and delivery.
• Perform User Acceptance Testing (UAT) to validate data solutions, ensuring they meet business requirements and functions as intended.
• Continuously enhance and optimize data integration and delivery processes to improve efficiency and meet the evolving needs of the treasury function.
• Assist with troubleshooting and resolving data issues and discrepancies, ensuring minimal disruption to treasury mandates.

Must have:

• 2-5 years of experience in one of the following: banking products, treasury, data analytics, data modelling and data solutions
• High proficiency in MS Office (Excel, PowerPoint, Word, Visio), SQL, data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and detail-oriented.
• Strong communication and interpersonal skills as the role requires working with multiple stakeholders and articulating complex treasury and data matters in a concise manner.
• Effective team player as well as the ability to work independently.

Nice To Have:

• Strong understanding of treasury functions and data needs such as fund transfer pricing, asset-liability management, funding, capital, liquidity, cash management, investments, and risk management is a plus.
• Experience with cloud-based data solutions such as Azure Databricks.
• Proficient in Python, or similar programming languages for data manipulation and automation.
• Familiarity with Confluence, JIRA, and SharePoint.
• Working towards CPA or CFA is considered a strong asset.

Education:

• Bachelor’s degree in finance, Business, Data Science, Computer Science, Engineering, or a related field.