Manager, Quantitative Analytics (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

-

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:

Risk Management

Job Description:

The manager, Quantitative Analytics leads a specialized team of Quantitative Strategist professionals and specialists.  This role is also a high-level expert on models and provides guidance to the team as needed in developing pricing models for a variety of asset classes.

Department Overview

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.

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
• Leads and manages a sizeable team of professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope, while growing talent, developing skills and capabilities to achieve career goals, support project / initiative success and achieve business results
• Ability to present and make recommendations to senior management and executives
• Ensures an integrated approach with other business areas, broader organization, and enterprise as appropriate
• Coordinates and prioritizes multiple initiatives and manages resource allocation
• Establishes effective relationships with different Stakeholders, Business Sponsors, Executives and LOB
• Provides support and contributes to the overall discipline and strategy for respective areas
• Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
• Deep knowledge and understanding of businesses / technology, and organizational practices/ disciplines
• Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function / business

Education & Experience:

• Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
• 7+ years relevant experience
• Ability to analyze complex information and develop plans to address identified issues
• Ability to establish goals and objectives that support the strategic plan
• Demonstrated