Quantitative Analytics Specialist (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) 2 to 3+ years 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 Quantitative Analytics Specialist provides the quantitative analysis and builds the advanced quantitative models to meet business requirements. In addition, the Quantitative Analyst provides highly specialized quantitative analytical and modeling support at the assigned line(s) of business and Lead the development and enhancement of advanced quantitative models to enable efficient pricing and risk management of business products. Provide analysis through in-depth understanding of the models, markets and business to help drive business results, strategy and decision making. 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, such as a specific model or portfolio In-depth understanding of the whole function and/or key business areas supported Performs statistical model assumptions' tests for soundness of model theory Hands on modeling in the entire life cycle Leads activities of unit, assigning, prioritizing and monitoring work Reviews model results and identifies unexpected results Provides training and mentoring for new and less experienced staff Resolves escalated issues and problems by conferring with staff Provides financial, analytical, planning, and forecasting expertise to assist in the development and completion of projects Develops specialized analytical tools for projects or ongoing use May manage the development of conclusions and courses of action to rectify discrepancies as well as analyses to be presented to management for aid in decision-making processes May lead additional research efforts, applying expertise in statistical analysis and modeling. Explores best practice modeling techniques for model enhancement Develops and maintains strong business relationships with business line management 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