Senior Quantitative Analyst (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$76,128 - $114,192 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 at TD. Our 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.

Line of Business:

Risk Management

Job Description:

The Senior Quantitative Analyst provides the quantitative analysis and builds the advanced quantitative models to meet business requirements. In addition, the Senior Quantitative Analyst provides highly specialized quantitative analytical and modeling support at the assigned line(s) of business and Develop advanced quantitative models to enable pricing of products.  Provide highly specialized analytical and modeling support for these models including optimal pricing and risk management.

Department Overview:

The Model Validation (MV) group is a centralized model risk management function within the Bank. It has seen fast growth in the past few years, reflecting global regulators’ increasing attention to model risk. The MV team is responsible for the vetting and approval of complex mathematical and statistical models used in the bank. By ensuring an objective and independent evaluation of models, the model validation function is critical to the effective measurement and management of risk across the Bank.

Job Description:

• Perform validation of all models deemed in-scope by the bank-wide Model Risk Policy. These models are used in the Bank for a variety of purposes, with this role focusing in particular on validation of credit risk scorecards and other models used for day-to-day customer-facing business processes, as well as Current Expected Credit Loss (CECL) models. These models may use traditional statistical methodologies and/or AI/ML approaches.
• Develop independent benchmarks for use in the validation of the above listed models. These benchmark models could be traditional supervised learning methods, unsupervised learning, or machine learning algorithms. Assess the appropriateness of the model for its specific use, reasonableness of the model assumptions and the accuracy of the model implementation.
• Prepare detailed technical documentation such as validation reports, describing the mathematical underpinnings of the model, validation techniques employed, test results obtained, and any model limitations noted.
• Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements.
• Establish and maintain productive working relations with internal model development groups and external vendors who have developed customized models for TD.
• Play a key role in ensuring the appropriate use of risk models. Identify the need to implement new models/techniques for risk management as industry standards evolve and regulatory requirements change.
• Stay current in knowledge of credit risk management methodologies, predictive modelling, and statistical analysis.

Our team currently operates under a hybrid work model, with employees expected to work in the office two days per week. Starting in November 2025, this expectation will increase to four days per week. Please note that, due to limited office space, the exact timing of this transition may vary depending on availability and individual circumstances.

Depth & Scope:

• Provides financial, analytical, modeling expertise to build quantitative models for business projects
• Conducts complex quantitative analysis as it applies to areas of responsibility, generally aligned to specific transactions and products
• Performs statistical model assumptions' tests for soundness of model theory
• Hands on coding and building of quantitative models
• Reviews model results and identifies unexpected results
• May develop specialized analytical tools for projects or ongoing use
• May develop conclusions and courses of action to rectify discrepancies as well as analyses
• Develops and analyzes key metric and plan