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Senior Quantitative Analyst – Stress Testing Model Development, SAS/Python
TDSenior Quantitative Analyst developing quantitative models to forecast income for loan and deposit products. Supporting TD Bank's treasury model development team with analytical and modeling expertise.
Posted 7/18/2026full-timeWilmington • New Jersey • 🇺🇸 United StatesSenior💰 $76,290 - $114,440 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing quantitative models and conducting statistical analysis to support financial forecasting and product pricing. Proficient in SQL, SAS, Python, and R, with strong communication skills for presenting analytical results.
Highest-signal resume keywords
Quantitative Model DevelopmentStatistical AnalysisSQLSASFinancial Analysis Techniques
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative ModelsStatistical AnalysisFinancial Analysis TechniquesModel Assumptions TestingData Analysis
Soft Skills
Strong Communication SkillsIndependent ActionEffective Interpretation
Tools & Technologies
SQLSASPythonRMicrosoft Office
Industry Keywords
CCARPPNRDFASTStress TestingBalance Forecasting
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- This position will 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 highly specialized quantitative analytical and modeling support at the assigned line(s) of business
- Develop advanced quantitative models to enable pricing of products
- Conduct complex quantitative analysis as it applies to areas of responsibility
- Perform statistical model assumptions' tests for soundness of model theory
- Review model results and identify unexpected results
- Develop conclusions and courses of action to rectify discrepancies as well as analyses
- Develop and analyze key metric and plan variances and related information
Requirements
What you’ll need- Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
- In-depth knowledge of quantitative models and statistical analysis
- 0 to 1 year of experience in developing Quantitative Models (CCAR/PPNR/DFAST modeling experience for Stress Testing is a big plus)
- Strong hands-on expertise with SQL/SAS/Python/R
- Ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through
- Strong communications skills, both written and verbal
- Proficiently use Microsoft Office tools to prepare and present analysis results to the audience
- Advanced skills in SAS and SQL
- Practical knowledge of financial analysis techniques and methodologies
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
- Banking benefits and discounts
- Career development
- Reward and recognition