Modelling/Forecasting Senior Specialist (US) - Enterprise Stress Testing

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$122,304 - $199,680 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:

Analytics, Insights, & Artificial Intelligence

Job Description:

Department Overview:

The Enterprise Stress Testing group (EST) is responsible for managing the Bank’s stress testing and ad-hoc stress analysis programs.  The US PPNR within the EST group is a cross-functional group supporting the stress testing function for TD's US businesses.  The team focuses on the US loan and deposit volume projections, including products such as Commercial CRE/C&I loans, Residential Mortgages, Credit Cards, Consumer Deposits, and many more, as well as projections for Fee income and Expenses.  Our work encompasses multiple workstreams including model execution, model development, reporting/analytics, governance, and supporting regulatory exams.

Depth & Scope:

• Generally accountable for significant advanced analytics and/or modelling function or area that typically has enterprise-wide impact or accountability
• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge with enterprise scope
• Undertakes and completes a variety of complex initiatives requiring for own area requiring seasoned specialist knowledge and/or the integration of cross functional processes
• Typically deals with senior/executive management
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)
• May manage and prioritize multiple projects at a given time

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
• 7+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Qualifications:

• Reporting complex financial concepts in business terms understandable by audiences with varied backgrounds & seniority levels
• Excellent verbal and written communication skills with the ability to communicate clearly with Senior Management
• Demonstrated strong analytical abilities
• Strong project management capabilities and sound business judgement
• Excellent inter-personal and internal relationship management skills; Ability to develop good business relationships with "internal clients"
• Must be able to think conceptually (out of the box) and have a high degree of attention to detail
• Advance knowledge and proficiency in excel, PowerPoint
• SAS experience preferred
• Degree in Finance, Advanced Quantitative Discipline, Economics or a related field

Customer Accountabilities:

• Leads on managing business data modeling needs for the overall function and ensures data modelling requests/activities are aligned to overall strategies
• Provides deep and highly specialized subject matter expertise to other modelers and/or internal partners as needed in the development of data analytical models
• Recommends opportunities for reuse of data models in new environments
• Evaluates data models and physical databases for variances and discrepancies
• Develops best practices for standard naming conventions and coding practices to ensure consistency of data models
• Provides business leadership with emerging industry trends and/or leading-edge concepts on data analytics, descriptive and predictive models
• Reviews modifications to existing data models to improve efficiency and performance

Shareholder Accountabilities:

• Adheres to e