1

Ai Risk Jobs in Quebec (NOW HIRING)

You will work across fraud detection, credit risk, regulatory compliance, and customer analytics, partnering with data, engineering, and compliance teams to bring AI from prototype to production. KEY ...

Continuously evaluate the AI landscape (tools, frameworks, protocols, vendors) and provide clear, risk-informed recommendations on what Fiera should adopt, pilot, standardize, or avoid Must have ...

Vention's Physical AI team is building next-generation machine intelligence for industrial ... Strong risk management mindset; able to build contingency plans and drive decisions under ...

The AI Development Team Lead leads a multidisciplinary team delivering production-grade AI ... Manage project delivery: scope definition, technical roadmaps, and deployment risk mitigation.

next page

Showing results 1-20

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Ai Risk jobs in Quebec look for? The top searched job categories for Ai Risk jobs in Quebec are:

Senior Director AI Model Validation

National Bank

Montreal, QC โ€ข Hybrid

Full-time

Medical, Retirement

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

A career as a senior director AI ML Models Validation in the Model Risk Management team at National Bank means acting as a leader of independent AI and machine learning model validation. This role allows you to have a concrete impact on the organization by strengthening the reliability, governance, and sustainability of models that influence and often drive business decisions, customer outcomes, and risk management through your expertise in advanced analytics, model risk, and strategic leadership.

Your role

  • Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and model inventory coverage
  • Lead, develop, and coach a team of model validators by setting clear expectations, supporting skills development, and ensuring consistent quality standards
  • Provide independent validation and effective challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness for purpose
  • Oversee the design and execution of validation testing, including benchmarking, replication, sensitivity and robustness analyses, performance monitoring, and outcome testing
  • Assess model risks related to modern AI and machine learning techniques, including stability, drift, generalization, operational resilience, explainability, and bias where applicable
  • Drive issue management and remediation by defining severity, agreeing on corrective actions, monitoring progress to closure, and confirming effectiveness through independent re-testing
  • Spearhead and champion the development of AI validation tools across the Model Validation Group.
Your team


Within the Model Risk Management department, you are part of a multidisciplinary team and report to the managing director responsible for the function. Your team stands out for its rigorous approach, its independence of thought, and its ability to influence stakeholders across data science, technology, risk, and business teams. A hybrid work environment and a flexible, adaptable schedule are offered to support your quality of life.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Prerequisites

  • Hold at least a bachelorโ€™s degree and at least six to ten years of experience in model risk, model validation, or related fields, including significant experience with AI/ML models.
  • Demonstrated experience leading and managing teams within model validation, quantitative risk, data science governance, or an independent challenge function
  • Strong expertise in statistics, machine learning, and validation methodologies, including testing design, performance evaluation, and lifecycle controls
  • Proficiency with analytics and data environments, including Python or R and SQL, with the ability to review code, pipelines, and model outputs
  • In-depth knowledge of model risk management frameworks, including documentation standards, change management, auditability, issue tracking, and ongoing monitoring

Your benefits

In addition to competitive compensation, upon hiring youโ€™ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:


* Health and wellness program, including many options

* Flexible group insurance

* Generous pension plan

* Employee Share Ownership Plan

* Employee and family assistance program

* Preferential banking services

* Involvement in community initiatives

* Telemedicine service

* Virtual sleep clinic


We have an offer that keeps up with trends as well as your needs and those of your family.


Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employeesโ€™ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.


Making a bold move in a people-first environment

Weโ€™re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on peopleโ€™s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.


We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?


Join us!