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

Jobtailor; New Jersey; On-site; USD 85,000 - 120,000; Full time

Job summary

TD Bank is seeking an experienced quantitative analyst to join the treasury model development team in New Jersey. You will help forecast balance and fee income across loan and deposit products, developing advanced models for pricing and risk assessment.

The role requires strong SQL, SAS, Python, and R skills, with the ability to interpret results, communicate clearly, and present findings to stakeholders. A quantitative background and effective collaboration are essential.

Qualifications

• Undergraduate degree in a quantitative field; advanced degree preferred.
• Strong knowledge of quantitative models and statistical analysis.
• 0 to 1 year of experience in developing quantitative models; CCAR/PPNR/DFAST experience a plus.
• Strong hands-on expertise with SQL, SAS, Python, and R.
• Proficient communication and ability to present analysis results.

Responsibilities

• Support treasury model development team in forecasting balance and fee income.
• Provide specialized quantitative analytical and modeling support.
• Develop advanced quantitative models for product pricing.
• Conduct complex quantitative analyses for areas of responsibility.
• Perform tests of model assumptions for soundness.
• Review model results and identify unexpected results.
• Develop conclusions and actions to rectify discrepancies and analyses.
• Develop and analyze key metrics and variances.

Skills

SQL

SAS

Python

R

Education

Undergraduate degree

Advanced degree preferred

Tools

Microsoft Office

Job description

Responsibilities

• 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

• 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

Core Competencies

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.

Tools & Technologies

• SQL
• SAS
• Python
• R
• Microsoft Office