Work Location:
New York, New York, United States of America
Hours:
40
Pay Details:
94,980.00 - 153,790.00 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:
Audit Job Description:
Depth & Scope:
- Works autonomously and accountable for acting as a lead within a specialized audit practice area and provide work direction to others
- Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- May lead and/or provide supervisory oversight to complex audits and ensure completion
- Knowledge of external competition, industry and/or market trends in relation to own function / business
- Scope of role may have enterprise impact
- Undertakes and completes a variety of complex audit projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
- May oversee and/or independently perform concurrent multiple audits and related tasks from end to end
- Ability to process and handle confidential information with discretion
Job Technical Requirements:
- Strong expertise in quantitative financial models such as credit risk models (PD, LGD, EAD, CECL), discounted cash flow and derivatives pricing models, Treasury market risk, counterparty credit risk, VaR, or portfolio risk and performance models. Financial Crime Risk (AML/BSA) and fraud detection models are plus.
- Demonstrated experience assessing model design, development, validation, implementation, performance monitoring, or governance, supported by strong knowledge of regression analysis, hypothesis testing, probability theory, time series analysis, stochastic processes, simulation methodologies, and model performance measurement.
- Expertise in evaluating AI-related risks and reviewing Machine Learning (ML), Generative AI (GenAI), and Agentic AI models, including their development, validation, governance, and ongoing performance monitoring are plus.
- AML/BSA model experience is preferred but not strictly required, including familiarity with transaction monitoring, alert triage, customer risk rating, and screening models.
- Experience evaluating model assumptions, data quality, feature engineering, model limitations, performance, governance, explainability, fairness, robustness, and ongoing monitoring across traditional statistical, machine learning, and AI models.
- Proficiency in one or more programming languages or analytical platforms, such as Python, SQL, SAS, R, MATLAB, VBA, or other quantitative and data analytics technologies.
- Experience with model implementation, deployment, lifecycle management, and production model environments is considered an asset.
- Knowledge of model risk management frameworks, regulatory expectations, and industry standards, including SR 26-2, Basel, CCAR, CECL/IFRS 9, and AI governance frameworks, is preferred.
- Prior experience conducting model audits, model validations, or independent model reviews within financial institutions, regulatory organizations, or consulting firms is highly desirable.
- Strong analytical, critical thinking, and problem-solving skills, with the ability to assess complex quantitative and AI-related risks.
- Excellent written and verbal communication skills, with the ability to effectively communicate complex quantitative, statistical, and AI concepts to both technical and non-technical stakeholders.
- Proven ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
- Experience coaching, mentoring, and developing team members, while contributing to the enhancement of audit methodologies, tools, and best practices.
- Demonstrated ability to lead or support moderately complex audit engagements, model reviews, and cross-functional initiatives, while collaborating effectively with diverse stakeholders and senior management.
- 7+ years of relevant experience in quantitative areas.
Education & Experience:
- Undergraduate degree required
- 7+ years of relevant experience
Customer Accountabilities:
- Supports the development and implementation of audit programs by contributing insights and assisting with planning activities
- Participates in audit engagements across multiple areas, helping ensure audits are conducted in line with established standards and timelines
- Executes the development of Audit Planning Memorandum (APM),