Senior Manager, Advanced Analytics (US) Retail Model Validation, Model Risk Management

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:

The Retail Model Validation (MV) group is part of the Model Risk Management function within the Bank. The Retail model validation team is responsible for the validation and approval of Retail capital, allowance and stress testing models, credit risk scorecard models, Pre-Provision Net Revenue models for TD's Retail portfolios, Enterprise Anti-Money Laundering models, and models used to support TD's retail business including marketing and personal banking analytics models.

The position reports to Senior Manager - AML, Retail Model Validation. The primary responsibilities for this role include:
 

• Independently lead and execute AML model validation projects including development of testing strategy, communication and escalation of validation issues, prepare and finalize the model validation review reports. Recommend the approval of the models or other corrective actions based on the independent validation.
• Support development and maintenance of the AML model validation standards and procedures that are compliant with the Bank’s internal Model Risk Policy, adhere with industry best practices, and meet regulatory requirements.
• Work effectively with internal partners to ensure AML models meet required Bank standards for use and proactively identify, manage, and work with relevant stakeholders to resolve the model risk related issues.
   
• Keep up with changes in the AML regulatory requirements and the emerging risks/practices in managing AML models and validations.
• Support requests from regulators, internal and external audit related to AML models and the associated validation process and procedures.
• Maintain full professional knowledge of techniques and developments in the field of AML modelling and validation processes.

The Senior Manager, Advanced Analytics leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business practices through advanced analytics. This role manages the overall Advanced Analytics team or function for a key business which may include Data Modelers and/or Data Scientist roles. This role may also oversee the development of statistical models, data mining and analytic solutions.

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