Treasury Lead Quantitative Model Solutions Specialist

What you'll do

• Translate Treasury business mechanics and analytical needs into technical specifications and solutions.
• Re-engineer legacy models into modular, parameterized components using Python or other programming languages.
• Automate data preparation, execution, and downstream analytics for Treasury workflows.
• Build benchmark datasets, regression tests, and reconciliation evidence to improve model performance.
• Develop reusable model frameworks, APIs, and tools to support governed analytics and AI workflows.
• Use AI-assisted engineering for code discovery, refactoring, testing, and documentation.
• Lead large-scale model maintenance, optimization, and planning for operational processes and controls.
• Influence global model maintenance schedules following the System Development Life Cycle and compliance requirements.

What we're looking for

• 5+ years of quantitative model solutions or quantitative model operations experience.
• Strong cross-Treasury understanding of balance sheet management, liquidity risk, and funding (preferred).
• 4+ years developing or implementing financial models or quantitative analytics (preferred).
• 4+ years building quantitative or analytical systems using Python or other programming languages (preferred).
• Strong SQL, testing, version control, and software engineering skills (preferred).
• Demonstrated ability to apply quantitative methods to Treasury or financial analytics (preferred).
• Experience with modular design, data pipelines, model dependencies, and documentation (preferred).
• Practical AI-assisted development experience with disciplined verification (preferred).