Senior Manager, Quantitative Analytics, PPNR Model Validation (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$122,304 - $183,456 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:

Risk Management

Job Description:

The Senior Manager, Quantitative Analytics oversees and lead a team of Quantitative Strategist professionals focused on the most complex set of pricing models.  This role is also considered an organizational expert on quantitative models in a wide range of asset classes and provides guidance to the team and others as needed. The Senior Manager, Quantitative Analytics also leads the advanced quantitative models' development to meet business requirements. This role provides interpretation through in-depth understanding of the models and business. This job provides forecasts and financial plans to drive business results, strategy and decisions.

This role is to lead the validation of Pre-Provision Net Revenue (PPNR) models used in stress testing programs (e.g., DFAST).

Key responsibilities:

• Manage a team of model validation in PPNR/stress testing. Assign validation tasks, review work papers, and ensure timely delivery of validation reports
• Lead independent validation of PPNR models (NII, Non-NII, Fees, Operating Expenses, Balance Sheet) for Stress Testing. Assess model conceptual soundness, data integrity, methodology, implementation, monitoring, and performance
• Represent MRM in regulatory exams and internal audits
• Present validation findings to key stakeholders and senior management

The candidate should have a combination of quantitative technical skills and soft skills. They are required to have expertise in statistical (regression, time series), economic, and machine learning modeling. They are also required to demonstrate great communication and stakeholder management abilities, such as ability to explain technical concepts to non-technical audiences. The candidate should also be great at technical writing in order to supervise and finalize validation reports going through regulatory reviews.

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
• 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 / business line
• Performs statistical model assumptions tests for soundness of theory
• Hands on modeling during the entire life-cycle
• Reviews model results and assists in the identification of unexpected results
• Provides training and mentoring for new and less experienced staff
• Gathers and reports on financial results vs. plans on an ongoing basis, providing evaluation and interpretation through an in-depth understanding of the business
• Develops and maintains strong business relationships with business line management
• Oversee and lead a large and/or highly complex and diverse reporting function for an area of significant risk, complexity or scope while growing talent, developing skills and capabilities to achieve career goals, support project / initiative success and achieve business results
• Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
• Manages and oversees the overall discipline and strategy for the respective areas while aligning to the enterprise best practices
• Provides coaching, mentorship and guidance to practitioners, business, executives within area of expertise
• Strategic advisor to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and antici