Data Analyst (Treasury)

Requirements

• 3+ years experience in treasury analytics
• Great skills with SQL and Python
• Evidence of solid mathematical and statistics knowledge
• Experience working within a bank's treasury function, with specific exposure to liquidity management and asset and liability management

Nice to have

• An advanced degree in a core STEM subject

What you'll be doing

• Developing and owning quantitative models for ALM, capital, and liquidity management
• Enabling domain owners to make strategic, data-informed decisions that directly impact the company's direction
• Setting up and maintaining treasury and regulatory monitoring and reporting frameworks
• Designing and developing key business metrics and dashboards to visualize performance and risk
• Building and maintaining robust ETL pipelines using SQL and Python
• Performing in-depth, ad-hoc analyses and creating reports that support long-term planning and regulatory compliance
• Supporting company-wide data initiatives that impact the department, such as data warehouse migrations and the development of standardized executive dashboards
• Promoting data literacy by contributing to best practices, documentation, and knowledge sharing across teams

Perks and benefits

• Building a global financial super app
• Creating an inclusive workplace
• Diverse talent encouraged
• D&I Framework in place