Quantitative Analytics Specialist – Stress Testing Model Development, SAS​/Python

Responsibilities

• Support TD Bank's treasury model development team in developing quantitative models to forecast balance and fee income for various loan and deposit products.
• Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making.
• Conduct complex quantitative analysis as it applies to areas of responsibility, such as a specific model or portfolio.
• Develop and maintain strong business relationships with business line management.
• Perform statistical model assumptions' tests for soundness of model theory.

• 2 to 3+ years of experience in developing Quantitative Models
• Strong hands‑on expertise with SQL/SAS/Python/R
• Deep knowledge in banking business and familiar with the banking industry data
• Proven ability to communicate complex technical concepts to business partners, senior leadership, and regulators.
• Proven experience working effectively in cross functional environments, collaborating across business, risk, technology, and compliance teams.
• Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)

Demonstrates expertise in developing quantitative models and conducting complex quantitative analysis within the banking industry. Strong ability to communicate technical concepts effectively to diverse stakeholders and collaborate across functional teams.