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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

Sr. AI Risk Officer

Toronto, ON · On-site

CA$94K - CA$176K/yr

Engage in the ongoing improvement and maintenance of the 2nd line of defense Analytics Risk Directive and AI Risk Directive ensuring alignment among key stakeholders and with Operational Non ...

Risk Analyst

Toronto, ON

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 ...

Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g ... We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and ...

Support all Risk business partner inquiries and analysis pertaining to ECL * Support the management ... Good working knowledge of various AI tools for process enhancement is an asset * Demonstrated ...

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Ai Risk Analyst information

How does an AI Risk Analyst typically 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

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 familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

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.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

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.

What are AI Risk Analysts?

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 are popular job titles related to Ai Risk Analyst jobs in Ontario? For Ai Risk Analyst jobs in Ontario, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Sr. AI Risk Officer

BMO Capital Markets

Toronto, ON • On-site

CA$94K - CA$176K/yr

Full-time

Medical, Life, Retirement

Posted 26 days ago


Job description

Application Deadline:

07/30/2026

Address:

100 King Street West

Job Family Group:

Audit, Risk & Compliance

The Senior AI Risk Officer, as part of the second line of defense in Operational Non-Financial Risk, will be responsible for the oversight of Artificial Intelligence (AI) deployment at BMO, and ensuring that use cases are consistent with internal risk management frameworks and meet bank standards. The role will support the current AI landscape as well as evolving areas such as generative AI. The role will provide direct oversight of individual use cases and work collaboratively with other teams within the second line of defense to identify the potential risks associated with new use cases. Specific accountabilities include:

  • Oversee and provide effective challenge on AI risks for a specific set of business groups within 1st line of defense. The effective challenge will include in depth review of the solutions and approaches being deployed.

  • Develop procedures and testing protocols to facilitate review and challenge.

  • Engage in the ongoing improvement and maintenance of the 2nd line of defense Analytics Risk Directive and AI Risk Directive ensuring alignment among key stakeholders and with Operational Non-Financial Risk programs.

  • Working closely with other 2nd line of defense functions to create a clear picture of risks associated with AI and generative AI tools. Execute direct accountabilities for AI risk management compared to other frameworks (e.g. model risk management, technology risk).

  • Provide conclusions and input as part of various forums and working groups that assess risks of new AI solutions including generative AI.

  • Establish ongoing monitoring of risks from AI across the assigned portfolio.

  • Monitors new regulations to understand implications for the framework.

  • Documentation conclusions from assessments of AI risk profile (e.g. exposures, material initiatives, systems issues or weaknesses in the control structure).

  • Represents the AI risk for the assigned groups during internal and external review including from internal audit and regulatory agencies.

  • Assesses of AI risk pertaining to new business initiatives and third party engagements to identify potential risks and make recommendations or escalate as per guidelines.

  • Provides advice and guidance to the first line of defense on implementation of the AI risk framework, including effective challenge.

  • Broader work or accountabilities may be assigned as needed.

Qualifications:

  • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

  • Graduate degree in a quantitative field, Computer Science, Business Administration, or related field of study preferred.

  • Hands on experience with developing, managing, or deploying models or AI tools.

  • Demonstrated capacity for managing and mitigating risks, ensuring adherence to governance and compliance standards

  • In depth knowledge of emerging technologies and cloud based tools for AI and Generative AI development.

  • In-depth knowledge of emerging global regulatory requirements for AI.

  • In-depth / expert knowledge and experience with risk policy frameworks; quality control / testing frameworks.

  • Seasoned professional with a combination of education, experience and industry knowledge.

  • Verbal & written communication skills - In-depth / Expert.

  • Analytical and problem solving skills - In-depth / Expert.

  • Influence skills - In-depth / Expert.

  • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

  • Able to manage ambiguity.

  • Data driven decision making - In-depth / Expert.

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.