Senior Quantitative Analyst

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.

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. The Model Validation (MV) group is a centralized model risk management function within the Bank. The MV team is responsible for the vetting and approval of complex mathematical and statistical models used in credit lending, business operations, and stress testing. 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 TD Bank Group. Model validators 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, including scoring credit risk (acquisitions and account management) and Economic and Regulatory Capital (e.g. Probability of Default, Exposure at Default, Loss Given Default), conducting stress testing, detecting fraud behaviors, and marketing retail products. The focus of this role is on validating models used in credit risk scoring and regulatory stress testing exercises, which may use traditional statistical methodologies as well as machine learning approaches. Validation of models involves testing models' performance and conceptual soundness, developing independent benchmark models, preparing detailed reports summarizing the validation and its outcome, and maintaining productive working relationships with internal model development groups and external vendors who have developed customized models for TD. 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