TD

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$98,160 - $159,270 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:

Technology Solutions

Job Description:

The AI Security Architect defines, develops and/or implements Technology Controls / Information Security related policies, programs, tools and provides specialized expertise and guidance on assessing risks, identifying potential gaps and providing security solutions to mitigate risks and protect the Bank. Participates on projects of moderate to high complexity and provides complex reporting, analysis, and assessments at the functional, business line or enterprise level for own area.

This role is responsible for designing, implementing, and governing security architectures for enterprise AI platforms and services. This role serves as the subject matter expert for securing Microsoft's AI and Copilot ecosystem and for developing Security Technical Implementation Guides (STIGs) and hardening standards to ensure compliant, secure deployment of AI solutions across regulated environments. The Architect partners with security engineering, cloud platform teams, compliance, and legal stakeholders to enable the safe and responsible adoption of AI technologies while maintaining strong risk management and regulatory alignment.

Depth & Scope:

• Participates on complex, comprehensive or large projects and initiatives
• Acts as a lead expert resource in technology controls / information security for project teams, the business / organization and/or outside vendors
• Has advanced knowledge of organization, technology controls / security/ risk issues

Education & Experience:

• Bachelor's degree preferred
• Information security certification / accreditation an asset
• 7+ years of relevant experience
• Expert knowledge of IT security and risk disciplines and practices

Preferred Qualifications:

• Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.).
• 3+ years focused on cloud security architecture.
• \Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs.
• Demonstrated experience as a Cloud Security Architect or Security Engineer with direct ownership over platform hardening standards or STIG development.
• Extensive technical knowledge of Microsoft cloud and AI platforms.
• Familiarity with compliance frameworks impacting AI security (e.g., NIST, ISO, CIS Benchmarks, etc.).
• Lead the security architecture design for AI platforms and services across the Microsoft ecosystem.
• Develop, maintain, and publish STIGs and security baselines for AI services, including configuration standards, risk controls, validation steps, and continuous compliance guidance.
• Security controls defined should include:
  • Model access controls
  • Data ingestion and indexing security
  • Prompt and content filtering
  • Training dataset governance
  • Logging and monitoring
  • Model endpoint exposure
  • API security
  • Identity, authorization, and tenant isolation
  • Supply chain and tool-assisted development workflows
• Author and manage security architecture frameworks for enterprise AI use cases as well as risk assessments for GenAI systems.
• Ensure control mapping aligned with NIST, CIS Benchmarks, and TD standards.
• Serve as the security authority on:
  • Azure AI Search
  • Azure OpenAI
  • Azure Content Safety
  • Azure Machine Learning
  • Microsoft Foundry
  • Microsoft 365 Copilot
  • M365 Copilot Studio
  • GitHub Copilot
• Build secure design patterns for AI workloads.
• Provide hands-on security guidance and architecture reviews for AI and GenAI pilots and production deployments.
• Partner with engineering teams to embed security by design into CI/CD pipelines.
• Review AI solutions for compliances with enterprise security policies, responsible AI principles and data protection and privacy requirements.
• Conduct security assessments of new AI services and releases prior to enterprise approval.

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

• Domestic Travel – Occasional
• International Travel – Occasional
• Performing sedentary work – Continuous
• Performing multiple tasks – Continuous
• Operating standard office equipment - Continuous
• Responding quickly to sounds – Occasional
• Sitting – Continuous
• Standing – Occasional
• Walking – Occasional
• Moving safely in confined spaces – Occasional
• Lifting/Carrying (under 25 lbs.) – Occasional
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Occasional
• Bending – Occasional
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Occasional
• Pushing – Never
• Pulling – Never
• Twisting – Never
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

 

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at [email protected].  Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$105,500 - $125,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

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.

Job Description:

*Department Overview

TD Model Validation (MV) group is responsible for the independent validation and approval of models used for Generative AI, Natural Language Processing (NLP), Tabular Deep Learning, credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

*Job Description

The position reports to Senior Applied Machine Learning Scientist in the AI/ML Model Validation team and is primarily focused on the validation and review of Deep Learning models.

Detailed accountabilities include:

• Research, validate, and apply new techniques in testing deep learning models applied to tabular/structured datasets.
• Stay up to date with advancements in the field of AI including major publications, foundation models, evaluation metrics, explainability, technology stacks, and datasets.
• In depth knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.
• Develop/implement AI/ML model validation methodologies and standards, especially for Tabular Deep Learning / Foundation models. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements.
• Work in Distributed Cluster / Cloud environments with large-scale datasets ranging from transactions to large document collections.
• Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.
• Conduct R&D in the area of Tabular Deep Learning and Foundation Models evaluation, testing, explainability.
• Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners such as AI2, Layer6, P&T, and FCRM.

*Job Requirements

• Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning / AI, engineering, statistics, mathematics, or physics.
• Experience with and strong knowledge of AI/ML methodologies including Deep Learning, modern Natural Language Processing (NLP), Transformers, Diffusion models, and Bagging/Boosting methods.
• Experience with Deep Learning technology stacks and libraries such as PyTorch, Tensorflow/Keras etc.
• Stay up to date with the latest advancements in Tabular Deep Learning / Foundation models, Machine Learning, and Cloud technologies.
• Proficient in one or more scripting/programming languages such as Python, Java, Scala, Pyspark.
• Familiarity with cloud platforms (e.g., Azure Databricks, Azure ML Studio).
• Familiarity with Data Structures, Algorithm design, and principles of Object-Oriented Programming (OOP).
• Knowledge of machine learning explain-ability/interpretability algorithms.
• Excellent verbal and written communication skills. The position requires writing clean technical reports.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision.

* Preferred Qualifications

• Publications in the relevant conference and journals are a plus.
• Ability to implement AI/ML algorithms from academic research papers is a plus.

*Aperçu du service

Le groupe Validation des modèles TD est responsable de la validation et de l’approbation indépendantes des modèles utilisés pour l’intelligence artificielle générative, le traitement du langage naturel, l’apprentissage profond pour les données tabulaires, le crédit, la gestion de la fraude et le marketing. L’équipe Validation des modèles, Intelligence artificielle (IA) et Apprentissage automatique (AA) est responsable de la validation de tous les modèles d’intelligence artificielle et d’apprentissage automatique utilisés à l’échelle de la Banque pour divers cas d’utilisation.

*Description du poste

Le poste relève du scientifique principal, Apprentissage automatique appliqué au sein de l’équipe Validation des modèles, IA et AA et est principalement axé sur la validation et l’examen des modèles d’apprentissage profond.

Voici les responsabilités détaillées du poste :

• Rechercher, valider et appliquer de nouvelles techniques de tests de modèles d’apprentissage profond appliqués aux ensembles de données tabulaires/structurés.
• Se tenir au courant des progrès dans le domaine de l’IA, y compris les principales publications, les modèles de fondation, les mesures d’évaluation, l’explicabilité, les piles technologiques et les ensembles de données.
• Maintenir une connaissance approfondie des techniques et des développements relatifs au secteur de l’IA et l’AA et partager ses connaissances avec les partenaires d’affaires et la haute direction.
• Élaborer et mettre en œuvre des méthodes et des normes de validation des modèles d’IA et d’AA, en particulier pour les modèles de fondation et d’apprentissage profond pour les données tabulaires. Veiller à ce que les méthodes et les normes de validation soient conformes aux pratiques gagnantes du secteur et à ce que les exigences en matière de réglementation et d’audit soient traitées.
• Travailler dans des environnements infonuagiques ou une grappe de serveurs distribués avec des ensembles de données à grande échelle, allant des opérations aux grandes collections de documents.
• Élaborer et appliquer une variété de tests statistiques et de techniques de modélisation pour cerner/recommander des améliorations à apporter aux modèles et entreprendre des initiatives connexes. Mettre en œuvre des modèles de référence, le cas échéant.
• Effectuer la recherche et le développement liés à l’évaluation, à la mise à l’essai et à l’explicabilité des modèles de fondation et d’apprentissage profond pour les données tabulaires.
• Communiquer les constatations et les recommandations aux intervenants techniques et non techniques.

Le titulaire du poste doit travailler efficacement avec différents partenaires internes, comme les équipes Analyses, Idées et Intelligence artificielle, Layer 6, Plateformes et Technologie et Gestion des risques liés aux crimes financiers.

*Exigences du poste

• Solides compétences en analyse quantitative et diplôme d’un cycle supérieur en informatique, en apprentissage automatique, en IA, en génie, en statistique, en mathématique ou en physique.
• Solides connaissances des méthodologies relatives à l’IA et l’AA (et expérience connexe), y compris l’apprentissage profond, le traitement du langage naturel moderne, les transformateurs, les modèles de diffusion et les méthodes de bagging et d’optimisation.
• Expérience des bibliothèques et des piles technologiques d’apprentissage profond, comme PyTorch et Tensorflow/Keras.
• Connaissances à jour des dernières avancées liées aux modèles de fondation et d’apprentissage profond pour les données tabulaires, à l’AA et aux technologies infonuagiques.
• Maîtrise d’un ou de plusieurs langages de script/programmation, comme Python, Java, Scala ou Pyspark.
• Connaissance des plateformes infonuagiques (p. ex. Azure DataBricks, studio d’apprentissage automatique d’Azure).
• Connaissance des structures de données, de la conception d’algorithmes et des principes de la programmation orientée objet.
• Connaissance des algorithmes d’interprétation/d’explicabilité de la capacité d’apprentissage automatique.
• Excellentes aptitudes pour la communication orale et écrite. La personne qui occupera le poste devra rédiger des rapports techniques clairs.
• Capacité à travailler de façon autonome et collaborative dans un environnement dynamique au rythme trépidant. Excellentes compétences en gestion du temps et capacités à gérer plusieurs tâches en même temps avec un minimum de supervision.

*Compétences recherchées

• Actes de colloque et publications scientifiques pertinents, un atout.
• Capacité à mettre en œuvre des algorithmes d’intelligence artificielle et d’apprentissage automatique à partir d’articles de recherches universitaires, un atout.

Who We Are:

TD 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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 a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

Work Location: Mount Laurel, New Jersey, United States of America Hours: 40 Pay Details: $98,160 - $159,270 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: Technology Solutions Job Description: The AI Security Architect defines, develops and/or implements Technology Controls / Information Security related policies, programs, tools and provides specialized expertise and guidance on assessing risks, identifying potential gaps and providing security solutions to mitigate risks and protect the Bank. Participates on projects of moderate to high complexity and provides complex reporting, analysis, and assessments at the functional, business line or enterprise level for own area. This role is responsible for designing, implementing, and governing security architectures for enterprise AI platforms and services. This role serves as the subject matter expert for securing Microsoft's AI and Copilot ecosystem and for developing Security Technical Implementation Guides (STIGs) and hardening standards to ensure compliant, secure deployment of AI solutions across regulated environments. The Architect partners with security engineering, cloud platform teams, compliance, and legal stakeholders to enable the safe and responsible adoption of AI technologies while maintaining strong risk management and regulatory alignment. Depth & Scope: Participates on complex, comprehensive or large projects and initiatives Acts as a lead expert resource in technology controls / information security for project teams, the business / organization and/or outside vendors Has advanced knowledge of organization, technology controls / security/ risk issues Education & Experience: Bachelor's degree preferred Information security certification / accreditation an asset 7+ years of relevant experience Expert knowledge of IT security and risk disciplines and practices Preferred Qualifications: University Degree in Computer Science, Cybersecurity, or related field (or equivalent experience). Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.). 7+ years in information security with 3+ years focused on cloud security architecture. Experience in a regulated environment. Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs. Demonstrated experience as a Cloud Security Architect or Security Engineer with direct ownership over platform hardening standards or STIG development. Extensive technical knowledge of Microsoft cloud and AI platforms. Familiarity with compliance frameworks impacting AI security (e.g., NIST, ISO, CIS Benchmarks, etc.). Ability to multi-task and work in a fast-paced environment. Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel – Occasional International Travel – Occasional Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment - Continuous Responding quickly to sounds – Occasional Sitting – Continuous Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Occasional Lifting/Carrying (over 25 lbs.) – Never Squatting – Occasional Bending – Occasional Kneeling – Never Crawling – Never Climbing – Never Reaching overhead – Never Reaching forward – Occasional Pushing – Never Pulling – Never Twisting – Never Concentrating for long periods of time – Continuous Applying common sense to deal with problems involving standardized situations – Continuous Reading, writing and comprehending instructions – Continuous Adding, subtracting, multiplying and dividing – Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. 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. Learn more Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at [email protected]. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. US Labor & Employment Posters | California Privacy | Accessibility | FAQ Our Values At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture. Our Commitment to Diversity, Equity, and Inclusion At TD, we’re committed to fostering an environment where all colleagues are encouraged to bring their authentic selves to work, experience equitable opportunities, and feel respected and supported. We’re dedicated to building an inclusive workforce that reflects the diversity of the customers and the communities in which we live and serve. Helping to Make an Impact in Communities – TD Ready Commitment TD has a long-standing commitment to help drive progress towards a more inclusive and sustainable future. That’s why we launched the TD Ready Commitment in 2018, now a multi-year North American initiative. Under the TD Ready Commitment, we are targeting a total of C$1 billion by 2030 in community giving across four key, interconnected drivers of change: Financial Security, Vibrant Planet, Connected Communities, and Better Health. It’s our goal to help support change, nurture progress, and contribute to making the world a better, more inclusive place for our customers, colleagues, and communities. Learn more: Canada | US | Europe & Asia Pacific

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

108,800 - 163,200 CAD

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.

Job Description:

The Model Validation  (MV) group in Enterprise Risk, Risk Management is responsible for the independent validation and approval of all analytical models used for TD.

The position reports to AVP, TBSM / FCRM/ TDAM/TDI Model Validation group. Detailed accountabilities include:

• Lead a team of quantitative professionals to validate Financial Crime Risk Management (FCRM) models for Trading Surveillance and Insider Risk Management

  • Work with team to develop an effective and efficient validation testing plan based on design of different FRCM models and complete validation in time to support various business initiatives and regulators requirements.

  • Supervise team's validation work to ensure capture all material & critical model limitations and execution / implementation accuracy of the validation testing.

  •  Support team to have effective communication with different stakeholders from 1st line and in-time solve model limitations / issues to meet validation lead time target.

  •  Work with team to deliver high quality model validation reports with adequate information and justification to support validation conclusions and Audit / regulator review / assessment of validation process and validation analysis.

• Recommend the approval of the models or other corrective actions based on independent vetting and validation.

• Maintain full professional knowledge of techniques and developments in FCRM modeling for Trading Surveillance and Insider Risk Management and share knowledge with business partners and senior management.

• Assume a leadership role in developing standards and procedures for vetting and validation that are compliant with the Bank’s internal Model Risk Policy, adhere with industry best practices, and meet regulatory requirements.

• Lead and develop internal team.

  • Ensure performance objectives are set for internal staff and that performance feedback is provided on a regular basis.

  • Communicate group objectives and strategies and align team activities in support of business objectives.

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

• Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of risk models and vetting/validation process and procedures. Provide information and assistance as required.

• Work effectively with internal model development group, Audit, and other internal partners to ensure risk models meet required Bank standards for use.

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

• Strategic partner to leadership team on the management of FCRM model risk, 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)

​

Education & Experience:

• Post-secondary degree in one or more of the following areas: computer science,  statistics,  mathematics, financial engineering, or engineering.

• 4 years + Experience in either developing or validating FRCM models with exposure in AI / ML modelling; and 1 years + Experience in managing a small team.

​

Preferred Qualifications:

• In-depth knowledge of FCRM modeling for Trading Surveillance and Insider Risk Management, Trading Strategy and Algorithm, and FI operations

• Proficient in relevant programming language & software such as, Python, H2O.AI, Scala, etc.

• Excellent verbal and written communication skills

• Excellent time / project management and multitasking skills with minimal supervision.

Customer Accountabilities:

• Leads validation team and provides day to day direction as needed

• Acts as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance

• Works in a highly interactive, team-oriented environment with Big Data developers, and analytical experts

• Provides analytical thought leadership and stays current on developments in IRR modelling

​

Shareholder Accountabilities:

• Works closely with key business leaders to develop validation plan, ensuring the optimal use of resources and leverages TD’s operating model to maximize efficiency, effectiveness and scale

• Plans and executes on strategic activities, reviews and communicates results, and adjusts tactics accordingly

• Executes on the validation plan to deliver results aligned with enterprise model validation procedures and model risk policy

• Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary

• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

• Ensures employees are knowledgeable; and assumes responsibility to minimize operational and regulatory risk by complying with Bank and industry Code of Conduct

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Employee/Team Accountabilities:

• Cultivates and models the Colleague Promise to support colleague growth, and a culture of care; makes an impact at work and in our communities by leading with authenticity and supporting well-being to represent TD's brand

• Connects the alignment of colleague's contributions with the TD Shared Commitments 

• Builds and retains an engaged and diverse team that embraces diversity of thought, creativity and curiosity; where every colleague and customer are valued, respected, and listened to; committed to a common goal and collaborate to move with speed and get things done

• Demonstrates inclusive leadership by taking meaningful action with intention to support colleagues and customers across all dimensions of diversity, including those from underrepresented communities, being actively anti-racist, attracting and retaining diverse slate of candidates, nurturing mutual respect, inclusivity of thought and collaboration to drive successful results

• Sustains, identifies strong talent, recruits and develops a diverse talent pipeline of qualified workforce to innovate and maximize individual strengths to lead to a better business outcome

• Enables colleague growth by encouraging colleague development to achieve career and business objectives, ensuring timely feedback, motivating appreciation and recognition to all colleagues

• Enables a continuous learning culture by proactively seeking, listening to and actioning feedback from peers and from colleague listening opportunities to continuously improve the colleague experience and grow your personal leadership

• Fosters an environment that promotes sharing of knowledge, information, skills, and subject matter expertise among the team; ensures timely management and escalation of issues and creates opportunities to collaborate with other functions and teams

• Leads team through change and creates an environment where team feels psychologically safe to challenge current practices by modeling resiliency and flexibility, communicating a compelling vision with clarity and empowering colleagues to drive innovation

• Contributes to the development of business segment and/or enterprise functional strategic priorities within their operational area or field of specialty that drives results

• Develops annual and/or long-term plans for own area that are aligned with enterprise-wide priorities, reinforcing a focus on results that align to One TD

• Fosters a high-performance culture by setting team targets and objectives, promoting and facilitating on-going feedback/coaching and conducting Quarterly Check-Ins for all colleagues to drive accountability and business results

• Manages employees in compliance with all human resources policies, procedures and guidelines of conduct

Who We Are:

TD 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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 a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet