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

Jobtailor; New Jersey; On-site; USD 90,000 - 150,000; Full time

Job summary

Jobtailor is seeking a quantitative modelling professional to join the TD Bank treasury analytics team in New Jersey. The role focuses on developing and forecasting balance and fee income through robust models, with deep banking knowledge and cross-functional collaboration across risk, technology, and business lines.

The candidate will conduct advanced quantitative analyses, communicate complex results to leadership and regulators, and build strong relationships with stakeholders to influence

Qualifications

• 2-3+ years of experience developing quantitative models.
• Hands-on expertise with SQL, SAS, Python, and R.
• Deep knowledge of banking domain and related data.
• Strong communication of complex concepts to partners, leadership, and regulators.
• Experience in cross-functional, cross-team environments.
• Undergraduate degree required; advanced degree preferred (math, physics, eng, finance, CS).

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.

Skills

Quantitative modeling

Statistical analysis

Communication

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Advanced degree preferred (math/physics/engineering/finance/CS)

Tools

SQL

SAS

Python

R

Job description

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.

Requirements

• 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)

Core Competencies

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.