Senior Quantitative Analyst; Stress Testing Model Development - SAS​/Python

Work Location and Hours

Wilmington, Delaware, United States of America

Hours:

40

$76,290 - $114,440 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job‑related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Risk Management

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. (

Note:

this is an in‑office position in our Wilmington, DE or Mount Laurel, NJ office; "NOT" Remote eligible)

• Quantitative academic background:
  Master’s degrees in statistics/math, econometrics, engineering, etc. (PhD preferred but not required)
• 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.
• 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.

• Develop advanced quantitative models to enable pricing of products.
• Provide highly specialized analytical and modeling support, including optimal pricing and risk management.
• Construct and validate statistical model assumptions and tests.
• Build and deploy models; review results and identify unexpected findings.
• Develop specialized analytical tools for projects or ongoing use.
• Generate ad‑hoc analytical reports and assist in research efforts.
• Apply best‑practice modeling techniques for model enhancement.
• Work with trading desks to analyze financial markets using quantitative models.
• Collaborate with risk management to assess model performance and regulatory inquiries.

• Undergraduate degree required; advanced technical degree preferred (e.g., math, physics, engineering, finance, computer science).
• Graduate degree preferred with progressive project work experience or 3+ years relevant experience.
• In‑depth knowledge of quantitative models and statistical analysis.
• Strong written, verbal, and presentation communication skills.
• Experience in complex analytics, statistical tools, forecasting of financial information.
• Proficiency in Microsoft Office, SAS, SQL and statistical modeling tools.
• Ability to analyze complex information, develop plans, and solve problems independently.

• Customer
  • Develop and enhance quantitative pricing models.
  • Write code to implement new pricing models.
  • Work with trading desks for pricing and risk analysis.
  • Enhance model documentation and collaborate with model risk management.
  • Analyze model performance and provide recommendations.
  • Support forecasting and analysis of regulatory inquiries.
• Sh…