Department Overview: The TD Bank Credit Cards & Unsecured Lending (CCUL) Credit Management department is responsible for managing the credit lifecycle of credit card and unsecured loan products offered to customers. The Quantitative Analytics Specialist team responsibilities will include developing and maintaining statistical and machine learning models to predict credit risk across the lifecycle (e.g., acquisition, existing account managements, collection). 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 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 requirements, risk and / or complexity Independently manages end-to-end functional programs Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions Uses sophisticated analytical thought to exercise judgement and identify solutions Impacts the achievement of sub-function or business line objectives within the area they are accountable for Work is guided by policies and industry standards/methods Communicates difficult concepts; converts information to compelling business context and advice; influences and gains alignment across increasingly senior stakeholders Works autonomously as the lead and guides others within area of expertise
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees