Senior Quantitative Analyst (Stress Testing Model Development) - SAS/Python

TD • Wilmington, DE

6d • $76,290 - $114,440 • Onsite

About The Position

This position supports TD Bank’s treasury model development team in developing quantitative models to forecast balance and fee income for loan and deposit products. It is an in-office role in Wilmington, Delaware, or Mount Laurel, New Jersey, and is not eligible for remote work.

The Senior Quantitative Analyst provides quantitative analysis and builds advanced models to meet business requirements, support product pricing, and inform risk management. The role involves hands-on model coding and development, statistical testing of model assumptions, analysis of model performance and results, and preparation of analytical reports and conclusions. The analyst works with trading desks, risk management, model risk management, and other business partners, and may lead research efforts, projects, or cross-functional teams. The position also supports forecasting and analysis of responses to regulatory inquiries related to models.

The role calls for a highly seasoned professional with substantial expertise in a complex field, sound judgment, and the ability to communicate technical findings in business terms and influence senior stakeholders. The job description lists an undergraduate degree as required and advanced technical education as preferred. It also includes a preferred qualification of 0–1 year of quantitative model development experience, while the education and experience section notes a graduate degree with progressive project experience or 3+ years of relevant experience.

TD describes its total rewards package as including base salary and variable compensation or incentive awards, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and recognition. The company also describes training and onboarding, development conversations, online learning, and mentoring programs.

Requirements

• Undergraduate degree required.
• In-depth knowledge of quantitative models and statistical analysis.
• Advanced skills in SAS and SQL; hands-on expertise with SQL, SAS, Python, or R is listed in the preferred qualifications.
• Advanced-level skills in statistical analysis and modeling tools.
• Ability to interpret business needs, select appropriate analytical techniques, take independent action, communicate findings, and follow through.
• Strong written and verbal communication, interpersonal, consultative, and presentation skills.
• Practical knowledge of financial analysis techniques and methodologies.
• Ability to use complex analytical tools and statistics for analysis and forecasting of financial and business information.
• Proficiency with Microsoft Office tools for preparing and presenting analysis results.
• Ability to manage competing priorities and make decisions based on business priorities and objectives.
• Ability to analyze complex information, identify problems, evaluate alternatives, and develop and implement solutions.
• Strong judgment, negotiation, influencing, conflict-resolution, flexibility, and adaptability skills.
• Skill in collecting, organizing, and analyzing complex or technical data and using logic and reasoning to evaluate alternatives.
• Ability to determine which issues to escalate and which to resolve independently.
• Ability to evaluate documents for accuracy and legal conformance.
• Ability to plan, set objectives, assess needs, evaluate effectiveness, and contribute to strategic direction.
• Ability to work effectively in a fast-paced environment and use a consultative approach.
• Ability to work autonomously, lead within an area of expertise, and collaborate across functions.
• The preferred qualifications state 0–1 year of quantitative model development experience; CCAR, PPNR, or DFAST stress-testing modeling experience is a plus.
• The education and experience section states that a graduate degree is preferred with progressive project work experience, or 3+ years of relevant experience.

Nice To Haves

• Master’s degree in statistics, mathematics, econometrics, engineering, or a related quantitative field; a Ph.D. is preferred but not required.
• Experience developing quantitative models, particularly CCAR, PPNR, or DFAST models for stress testing.
• Deep knowledge of banking business and familiarity with banking industry data.
• Experience communicating complex technical concepts to business partners, senior leadership, and regulators.
• Experience collaborating across business, risk, technology, and compliance teams.
• Advanced technical degree in mathematics, physics, engineering, finance, or computer science.

Responsibilities

• Develop and enhance quantitative pricing models, including models used for forecasting and risk management.
• Write computer code to implement new models and enhancements to existing models.
• Conduct complex quantitative analysis and test statistical model assumptions for soundness.
• Review model results, identify unexpected outcomes, analyze model performance, and develop recommendations to address discrepancies.
• Work with trading desks to analyze financial markets, product pricing, and risk management using quantitative models.
• Explore best-practice modeling techniques and develop specialized analytical tools where needed.
• Enhance model documentation and work with model risk management to obtain approval for new models and model features.
• Support the development, forecasting, and analysis of potential responses to regulatory inquiries related to models.
• Prepare ad hoc reports and analyses, assess performance and predictive data, and communicate findings and recommendations.
• Lead or contribute to research efforts, cross-functional teams, projects, and operational activities as assigned.
• Maintain business relationships with trading desks and collaborate with business, risk, technology, and compliance partners.
• Manage risks, protect confidential information, follow policies and regulatory requirements, and escalate issues when appropriate.
• Monitor service, productivity, and efficiency; identify and implement process or performance improvements.
• Participate in team knowledge-sharing, training, coaching, and development activities.
• Keep colleagues and stakeholders informed about project progress and relevant developments.

Benefits

• Base salary and variable compensation or incentive awards, including potential cash and/or equity incentive awards through an incentive plan.
• 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 programs.
• Training and onboarding.
• Online learning platform and mentoring programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior