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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

Enables AI Risk Officers to focus on oversight, effective challenge, risk assessments, regulatory engagement, and remediation activities. The role acts as a central coordination point across AI RSA ...

Responsibilities: * Maintains the organization's AI risk taxonomy and assessment methodology ... Risk documentation: model cards, risk assessments, impact analyses, and risk scorecards * Model ...

Risk Analyst

Toronto, ON · On-site

CA$95K - CA$105K/yr

We are lookig for a Risk Analyst for a Rail & Transit project in Ontario. * Assist with the ... We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and ...

... Analytics and AI Hub at CIBC is responsible for ensuring that all AI activities at CIBC are ... This Senior Consultant, AI Risk Management will support CIBC's AI risk management practices by ...

Market Risk Analyst (5411)

Toronto, ON · On-site

CA$69K - CA$98K/yr

AI, Python, Bloomberg, Tableau, Microsoft Excel, etc.). * Expertise in quantitative analysis, statistics, financial modeling, and advanced Excel skills. * Strong understanding of risk metrics, such ...

The Risk Analyst will also create security reports, risk review reports, and other security ... Use of AI in Job Applications Artificial Intelligence can be a useful tool to support your ...

Senior Credit Risk Analyst (ATH 5293)

Toronto, ON · On-site

CA$81K - CA$115K/yr

Through regular analysis of key risk indicator trends and the development of new metrics, this role ... Experience leveraging AI-assisted development tools to optimize code performance and processing ...

Value & Risk Advisory Analyst - JLL What this job involves: JLL is seeking a Valuation & Risk ... Utilize AI-powered tools and automation technologies to enhance data collection, improve analytical ...

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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 September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 67% Physical, 5% Hybrid, and 28% Remote job distribution.

AI Risk Analyst

Toronto, ON • On-site

BMO Capital Markets
1 - 5K employees

Full-time

Medical, Life, Retirement

Posted 12 days ago


Job description

Application Deadline:

09/11/2026

Address:

100 King Street West

Job Family Group:

Audit, Risk & Compliance

Provides governance, reporting, operational, and program coordination support for the AI Risk Specialty Area (AI RSA). Supports the execution of governance processes, reporting, inventory management, metrics production, audit and regulatory coordination, issue tracking, and stakeholder communications to ensure effective operation of the AI Risk program. Enables AI Risk Officers to focus on oversight, effective challenge, risk assessments, regulatory engagement, and remediation activities.

The role acts as a central coordination point across AI RSA, Operational Non-Financial Risk (ONFR) programs, and other risk domains, ensuring reporting obligations, governance activities, and program commitments are executed consistently and efficiently.

Core Responsibilities

Governance Administration & Program Coordination

  • Supports execution of AI RSA governance processes, including committee and forum administration, attestations, approvals, issue tracking, and action item management.
  • Coordinates governance meetings and working groups, including agendas, materials, minutes, decisions, and follow-up activities.
  • Maintains governance documentation, operating procedures, inventories, and supporting records to ensure audit readiness and regulatory traceability.
  • Tracks program commitments, milestones, actions, dependencies, findings, and remediation activities, escalating issues as appropriate.
  • Supports maintenance of governance calendars and recurring operating routines.

Reporting, Metrics & Communications

  • Produces recurring management, executive, audit, regulatory, and governance reporting in support of AI RSA activities.
  • Develops and maintains dashboards, scorecards, KPI/KRI reporting, and portfolio metrics.
  • Performs data validation and quality assurance activities to improve reporting accuracy, consistency, and completeness.
  • Supports preparation of executive briefings, presentations, reporting packages, communications, and key messages.
  • Analyzes trends and identifies potential reporting gaps, data quality issues, or emerging concerns for escalation.
  • Coordinates reporting requests and information gathering across stakeholders.

Audit, Regulatory & Issue Management Support

  • Supports coordination of audit, regulatory, and control review activities.
  • Assists with evidence collection, documentation management, and response coordination for audits and examinations.
  • Tracks audit findings, management actions, regulatory commitments, and remediation milestones.
  • Maintains documentation supporting adherence to AI Risk policies, standards, directives, and regulatory expectations.
  • Supports preparation of materials and status reporting related to audit and regulatory activities.

ONFR Program & Stakeholder Coordination

  • Serves as a key coordination point for AI RSA engagement with ONFR programs and other risk management initiatives.
  • Supports alignment of reporting requirements, governance obligations, and program deliverables across risk domains.
  • Coordinates stakeholder communications, information requests, and follow-up activities.
  • Builds effective working relationships with business, technology, risk, compliance, audit, and governance partners.
  • Supports cross-functional initiatives and governance enhancements as assigned.

Operational Support & Continuous Improvement

  • Administers and maintains tools, templates, workflows, and supporting artifacts used across AI RSA activities.
  • Monitors operational processes to support timely and accurate execution of governance and reporting activities.
  • Identifies opportunities to improve efficiency, consistency, transparency, and scalability of governance and reporting processes.
  • Assists with development of process documentation, user guidance, training materials, and communication artifacts.
  • Supports evolving AI Risk, ONFR, and regulatory priorities as required.

Qualifications

Must Have

  • 2-5 years of experience supporting governance, operational risk, compliance, audit, regulatory, reporting, or program management activities.
  • Experience preparing reports, dashboards, presentations, and management updates.
  • Strong organizational, documentation, and coordination skills.
  • Experience tracking issues, action items, remediation plans, or project deliverables.
  • Strong written and verbal communication skills.
  • Proficiency in Excel, PowerPoint, SharePoint, and reporting tools.
  • Ability to manage multiple priorities and work independently within established guidelines.
  • Strong attention to detail and commitment to data quality and accuracy.

Nice to Have

  • Experience supporting Operational Risk, Non-Financial Risk, Technology Risk, Data Risk, Model Risk, or AI-related programs.
  • Experience with Power BI, Power Platform, OpenPages, Archer, ServiceNow, or similar governance and reporting platforms.
  • Familiarity with audit, regulatory examination, and issue management processes.
  • Exposure to AI governance, model governance, data governance, or technology risk management frameworks.
  • Program management or governance coordination experience.

Salary:

$61,600.00 - $113,900.00

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.