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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

AI CyberSecurity Architect

Toronto, ON ยท On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

Work with cybersecurity and risk peers to ensure established AI security controls align to a given ... Experience securing AI/ML or advanced analytics platforms * Strong understanding of AI system ...

Senior Analyst (Hybrid)

Toronto, ON ยท Hybrid

  • Medical

  • Retirement

Knowledge of AI and Machine Learning would be an asset. * Excellent analytical skills to identify the causes of risk changes and impact to business and strategy. * Ability to effectively communicate ...

You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the ...

AI Engineer

Toronto, ON ยท On-site

You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the ...

... Analytics, Ops for data | infra | integration related to implementation Collaborate with teams to enforce responsible AI, model risk management, and AI governance Candidate Profile: Technical Skills ...

... Analytics, Ops for data | infra | integration related to implementation Collaborate with teams to enforce responsible AI, model risk management, and AI governance Candidate Profile: Technical Skills ...

Senior Analyst, Regulatory Relations

Toronto, ON ยท On-site

  • Medical

  • Dental

  • Retirement

  • PTO

A key member of the Enterprise Risk Management (ERM) team, this position may also support adhoc ... Experience leveraging AI tools to support and enhance workflows * Exposure to regulatory exams ...

Manager, Business Mgmt

Toronto, ON ยท On-site

CA$114K - CA$136K/yr

Strong understanding of AI, analytics, data governance, model governance, operational risk and technology governance practices. Leadership Capabilities * Exceptional ability to influence without ...

Senior Analyst, Regulatory Relations

London, ON ยท On-site

  • Medical

  • Dental

  • Retirement

  • PTO

A key member of the Enterprise Risk Management (ERM) team, this position may also support adhoc ... Experience leveraging AI tools to support and enhance workflows * Exposure to regulatory exams ...

Showing results 21-40

Ai Risk Analyst information

What is an AI risk analyst?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

What skills and qualifications are needed to be an AI risk analyst?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI risk analyst collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

How much do AI risk analysts make?

AI risk analysts typically earn between $70,000 and $130,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in AI safety and risk management can earn higher salaries, often exceeding $150,000. The role often requires knowledge of AI systems, risk assessment, and relevant certifications.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and understanding of AI safety and ethics, often supported by certifications or advanced degrees. Experience with AI tools and risk assessment frameworks is also valuable.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including safety, ethical concerns, and unintended consequences. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks to ensure AI deployment aligns with safety standards and regulations.

Will AI take over AI Risk Analyst jobs?

AI Risk Analysts evaluate and manage risks associated with artificial intelligence systems, a role that requires specialized knowledge of AI technologies, ethics, and safety protocols. While AI tools can assist in data analysis and risk assessment, human expertise remains essential for interpreting complex issues and making strategic decisions, so the job is unlikely to be fully automated in the near term.

What job categories do people searching Ai Risk Analyst jobs in Ontario look for?

The top searched job categories for Ai Risk Analyst jobs in Ontario are:

Infographic showing various Ai Risk Analyst job openings in Ontario as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior Manager, Model & AI Governance

BMO Capital Markets

Toronto, ON โ€ข Hybrid

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Posted 11 days ago


Job description

Application Deadline:

09/05/2026

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This is a hybrid role in Toronto

The Senior Manager, Model & AI Governance is a leadership role within the Data, AI Transformation & Analytics (D.A.T.A.) team, accountable for establishing, operating, and continuously strengthening the first line Model and AI Governance programs across Canadian Personal & Business Banking.
This role provides strategic and hands-on leadership for model and AI governance, ensuring models and AI systems are managed as enterprise assets and comply with all applicable enterprise policies, regulatory expectations, and Responsible AI principles. The role partners closely with business, product, technology, and second-line risk teams to enable safe, transparent, and scalable use of models and AI.

Key Accountabilities

Model & AI Governance Leadership

  • Own and operate the Canadian P&BB first line Model and AI Governance programs across the full lifecycle.
  • Establish, maintain, and continuously improve governance policies, standards, procedures, and controls.
  • Ensure governance practices are aligned with enterprise risk appetite, regulatory expectations, and business objectives.

Lifecycle Oversight & Compliance

  • Ensure all models and AI use cases comply with enterprise and regulatory requirements from intake through decommissioning.
  • Oversee model and AI inventories, intake processes, risk classification, and validation engagement.
  • Ensure ongoing monitoring, issue management, and remediation are operating effectively.

Risk, Audit & Regulatory Readiness

  • Partner with Enterprise Risk, Model Risk Management, and Audit teams to support reviews and examinations.
  • Lead internal audits, self-assessments, and control testing related to model and AI governance.
  • Ensure timely remediation of findings and continuous strengthening of the control environment.

Business & Product Partnership

  • Partner with AI Product, Data Science, and Technology teams to embed governance into delivery processes.
  • Provide expert advisory support on model and AI risk, governance requirements, and Responsible AI practices.
  • Enable innovation by providing clear, practical governance guidance that supports responsible adoption.

Reporting, Insights & Enablement

  • Maintain management reporting and dashboards on model and AI risk, compliance, and governance maturity.
  • Provide clear insights and updates to senior leaders and governance forums.
  • Drive organizational understanding of model and AI governance responsibilities.

Leadership & Culture

  • Provide leadership and direction across governance team members and matrix partners.
  • Role model BMO values and behaviours, including accountability, integrity, and inclusion.
  • Foster a strong culture of risk ownership and Responsible AI across P&BB.

Qualifications

  • 7+ years of experience in model risk management, AI governance, advanced analytics, or related risk disciplines.
  • Strong understanding of machine learning, generative AI, and AI lifecycle management.
  • Demonstrated experience operating governance programs in regulated environments.
  • Proven ability to influence senior stakeholders and work across business, technology, and risk teams.
  • Strong analytical, communication, and problem-solving skills.

Salary:

$94,600.00 - $176,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.