Détails De La Rémunération

$156,500 - $90,000 CAD

- Department Overview

Lieu De Travail

Montréal, Québec, Canada

Horaire

37.5

Secteur D’activité

Analyses, informations et intelligence artificielle

Détails De La Rémunération

$156,500 - $90,000 CAD

Les renseignements sur la rémunération publiés tiennent compte d’une prime de marché temporaire propre à ce poste, qui est réévaluée chaque année.

La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.

Description Du Poste

- Department Overview

The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen quick growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence (AI) Model Validation (MV) group is responsible for the review/vetting and approval of AI models developed and used across the enterprise (e.g., Fraud,



Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance, TD Securities), including Generative AI and other contemporary Deep Learning models.

- Job Description

The position reports to the AVP, AI Model Validation group and is primarily focused on leading the team responsible for the review/vetting of Generative AI, NLP and other Deep Learning models.

Detailed Accountabilities Include

- Lead R&D; in the GenAI/Agentic/LLM evaluation and testing areas.
- Lead a team of Machine Learning Scientists to perform validation/review of complex AI models, particularly Generative AI, LLMs / NLP and Deep Learning models.
- Validate (review, test/evaluate, and provide effective challenge to the model developers) AI models, particularly Generative AI and Agentic models.
- Recommend the approval of models or other corrective actions based on an independent validation.
- Lead and support a team of model validators.
- Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
- Communicate group objectives and strategies and align group activities in support of business objectives.

- Support employee development activities, coach and support direct reports in meeting their personal development objectives.




- Assume a leadership role in developing standards and procedures for vetting and validation of Generative AI, Agentic AI and diverse Deep Learning models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
- Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
- Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
- Play a key role in ensuring the appropriate use of AI models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
- Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on Generative AI, Agentic AI, LLMs / NLP and other Deep Learning modeling and validation.
- Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets.
- Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with internal partners from different model development groups and other relevant 2nd line risk control functions.

Job Requirements

- Advanced quantitative and AI skills with post-secondary degree in one

📌 Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480 (Montreal)
🏢 TD Securities
📍 Montreal