Senior Quantitative Analyst – Stress Testing Model Development, SAS/Python

. Support TD Bank's treasury model development team in developing quantitative models to forecast balance and fee income for loan and deposit products .

Posted 10/19/2026full-timeWilmington • New Jersey • United StatesSenior💰 $76,290 - $114,440 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and analyzing quantitative models for financial forecasting and risk management, utilizing advanced statistical analysis and programming skills in SAS, Python, SQL, and R. Proven ability to communicate complex concepts effectively to diverse stakeholders while adhering to regulatory guidelines.

Highest-signal resume keywords

Quantitative Model DevelopmentStatistical AnalysisSAS ProgrammingPython ProgrammingSQL Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ModelsStatistical AnalysisFinancial Analysis TechniquesModel Performance AnalysisPredictive Data AnalysisComplex Analytical ToolsModel DocumentationRisk Management AnalysisBusiness PlanningData Forecasting

Soft Skills

Communication SkillsInterpersonal SkillsPresentation SkillsNegotiation SkillsProblem-Solving Skills

Tools & Technologies

SASPythonSQLMicrosoft Office

Industry Keywords

Banking Industry DataCCARPPNRDFASTRegulatory Inquiries

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 loan and deposit products
Provide quantitative analysis and build advanced quantitative models for business requirements, product pricing, and risk management
Conduct complex quantitative analysis for transactions and products
Perform statistical model assumption tests
Code and build quantitative models using SAS, Python, SQL, and R
Review model results and identify unexpected results
Develop specialized analytical tools and ad-hoc analytical reports
Develop conclusions and corrective actions for discrepancies
Analyze key metrics, plan variances, performance data, and predictive data
Research and apply best-practice modeling techniques for model enhancement
Lead or contribute to cross-functional teams and end-to-end functional programs
Develop and enhance quantitative pricing models
Work with trading desks on financial-market, product-pricing, and risk-management analysis
Enhance model documentation and obtain model/features approval from model risk management
Assist with model-performance analysis
Develop and maintain relationships with trading desks
Support development, forecasting, and analysis of responses to regulatory inquiries
Conduct research and prepare presentations and communications for management
Monitor service and productivity and implement process and performance improvements
Follow internal policies and regulatory guidelines; identify, manage, and escalate risks
Participate in knowledge transfer, cross-training, coaching, and team development
Keep stakeholders informed about project and activity status
Promote a positive, equitable, and inclusive team environment

Requirements

What you’ll need

Undergraduate degree required
Advanced technical degree preferred, such as math, physics, engineering, finance, or computer science
Graduate degree preferred with either progressive project work experience or 3+ years relevant experience
0 to 1 year of experience in developing quantitative models; CCAR/PPNR/DFAST stress-testing modeling experience is a plus
In-depth knowledge of quantitative models and statistical analysis
Strong hands-on expertise with SQL, SAS, Python, and R
Deep knowledge of banking business and banking industry data
Ability to communicate complex technical concepts to business partners, senior leadership, and regulators
Experience working effectively in cross-functional environments across business, risk, technology, and compliance teams
Practical knowledge of financial analysis techniques and methodologies
Ability to use complex analytical tools and statistics for financial and business analysis and forecasting
Proficiency with Microsoft Office tools
Advanced skills in SAS and SQL
Advanced proficiency in statistical analysis and modeling tools
Ability to analyze complex information, develop plans, and implement effective solutions
Ability to evaluate documents for accuracy and legal conformance
Ability to conduct short- and long-range business planning
Ability to identify, analyze, and solve complex problems
Ability to contribute to strategic direction and advise senior leadership
Strong written, verbal, interpersonal, consultative, presentation, negotiation, and influencing skills
Ability to manage competing priorities and exercise sound judgment
Ability to work in an in-office environment in Wilmington, Delaware or Mount Laurel, New Jersey

Benefits

Comp & perks

Variable compensation/incentive awards, including potential cash and/or equity incentive awards
Health and well-being benefits
Savings and retirement programs
Vacation PTO, Flex PTO, and Holiday PTO
Banking benefits and discounts
Career development
Reward and recognition
Regular career, development, and performance conversations
Online learning platform
Mentoring programs
Training and onboarding sessions
Occasional domestic travel
Disability accommodations during the application process