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

Quantitative Analytics Specialist developing quantitative models for forecasting balance and fee income at TD Bank. Collaborating across teams and driving business results in treasury model development.

Posted 7/18/2026full-timeWilmington • New Jersey • 🇺🇸 United StatesJuniorMid-Level💰 $96,130 - $144,190 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Quantitative Model DevelopmentSQLSASPythonR

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical Model TestingData ForecastingModel Assumptions Testing

Soft Skills

CommunicationCollaborationRelationship Management

Certifications & Qualifications

Undergraduate DegreeAdvanced Technical Degree

Industry Keywords

Banking BusinessBanking Industry DataCross Functional EnvironmentsRisk ManagementCompliance

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition