Senior Manager, Advanced Analytics Lead
1 day ago
About the Role
The Senior Manager, Advanced Analytics will lead a specialized team of model validators 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 will ensure 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.).
Key Responsibilities
- 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)
Requirements
- 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.
About TD Bank, N.A.
TD Bank, N.A. is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.
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