Senior Manager, Advanced Analytics (US) PPNR, DFAST Stress Testing

Work Location:

Boston, Massachusetts, 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:

The Senior Manager, Advanced Analytics leads a specialized team of model responsible for validating Pre-Provision Net Revenue (PPNR) stress-testing models used for Dodd-Frank Act Stress Tests (DFAST), Enterprise-Wide Stress-Testing (EWST) and Macro Stress-Testing (MST). The senior manager ensures that all model validation deliverables (initial / ongoing validation, annual model review, and overlay review) are met timely in accordance with the Model Risk Management Policy requirements and stress-testing standards and provide support on model governance topics when needed (model inventory system updates, monitoring review, model validation procedures updates, external communication etc.)

Depth & Scope:

• Provides people management leadership by hiring the best talent, setting goals, developing staff, managing employee performance and compensation decisions, promoting teamwork and handling any/all disciplinary actions, as required
• Oversees and leads a large and/or highly complex and diverse reporting function for an area of significant risk, complexity or scope
• Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and identifies operational efficiencies and opportunities with other business management/enterprise areas
• Facilitates key strategic discussions and provides thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks short to long term goals etc.)
• Sets operational team direction and collaborates with others to execute on common goals
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)

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
• Willing to consider 5 + years previous relevant experience
• 5+ year experience in model validation and / or model development within the banking or financial services industry.
• 3+ year experience in the validation or development of stress-testing models with a focus on Pre-Provision Net Revenue models used in the US (e.g., CCAR/DFAST) and / or in Canada (MST and EWST).
• Advanced degree in one or more of the following areas: Finance, Financial Engineering, Mathematics, Statistics and / or Econometrics.

Customer Accountabilities:

• Leads team of Data Modelling professionals and provides day to day direction as needed
• Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
• Leads and oversees the design and delivery of enterprise analytic solutions for customers
• Oversees build of complex statistical models that learn from and scale to petabytes of data
• Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
• Provides analytical thought leadership and stays current on developments in data mining
• May be accountable to lead team in developing powerful business insights from social marketing and industrial data using advanced machine learning techniques

Shareholder Accountabilities: