This job is closed
We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.
TD Bank
posted 3 months ago
About the position
The Manager, Quantitative Analytics leads a specialized team of Quantitative Strategist professionals and specialists within the Retail Model Validation group at TD. This role is responsible for overseeing the validation and approval of various models related to credit risk and anti-money laundering (AML), ensuring compliance with regulatory requirements and internal standards. The position requires a high level of expertise in model development and validation, as well as strong leadership skills to manage a diverse team and collaborate with internal partners.
Responsibilities
- Independently lead and execute AML model validation projects, including development of testing strategy and communication of validation issues.
- Prepare and finalize model validation review reports, recommending model approvals or corrective actions based on independent validation.
- Support the development and maintenance of AML model validation standards and procedures compliant with the Bank's Model Risk Policy.
- Work effectively with internal partners to ensure AML models meet required Bank standards and proactively resolve model risk issues.
- Stay updated on changes in AML regulatory requirements and emerging risks in managing AML models.
- Support requests from regulators and internal/external audits related to AML models and validation processes.
- Maintain professional knowledge of techniques and developments in AML modeling and validation processes.
Requirements
- Undergraduate degree required; advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science).
- 7+ years of relevant experience in quantitative analysis and model validation.
- Ability to analyze complex information and develop plans to address identified issues.
- Demonstrated skills in conflict resolution, negotiation, and influencing.
- Strong analytical skills and ability to collect, organize, and analyze complex data.
- Ability to think strategically and possess strong business acumen.
Nice-to-haves
- Strong statistical background and excellent analytical skills with a graduate degree in statistics, economics, mathematics, actuarial sciences, or mathematical finance.
- Knowledge in AML programs including transaction monitoring, KYC, and sanctions.
- Experience interacting with regulators/auditors.
- Proficiency in programming languages such as Python, R, SAS, and/or Matlab.
Benefits
- Base salary and variable compensation/incentive awards.
- 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 opportunities.
