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

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.

Position Overview: 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) Preferred Qualifications: 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. 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. 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 variances and related information Develops analyses of performance and predictive data Compiles and generates ad-hoc analytical reports May lead additional research efforts, applying expertise in statistical analysis and modeling Explores the best practice modeling techniques for model enhancement Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas Integrates knowledge of the enterprise sub-function’s or business line’s overarching strategy in developing solutions across multiple functions or operations Interprets internal/external business challenges and the industry environment, recommends course of action and best practices to improve products, processes or services Acts as a technical expert / lead integrating cross-function understanding within their own field of specialty; may manage team(s) of related specialists Leads cross-functional teams or projects with significant resource