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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

Chubb

AI Engineer

Toronto, ON · 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 ...

Chubb

AI Engineer

Toronto, ON · 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 ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Ontario

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 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:

Ai Risk Analyst jobs near you
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.

2027 Winter - GRM, Retail Risk Modeling Analyst Intern (8 Months)

Toronto, ON • Hybrid

Rbc
Banking and Credit Intermediation • 10K+ employees
Learn more about Rbcexternal

Full-time

Posted 13 days ago

Job description

Job Description

What is the opportunity?

The Retail Risk Modeling team specializes in leveraging large datasets to generate new insights and make fact-based decisions on how to profitably grow loan originations by balancing risk, pricing, operational efficiency, and customer impact.

As a co-op analyst on the team, you will support the team on analyzing, implementing, and testing solutions to support real-time decision making for RBC's lending business lines (credit cards, home equity financing, various unsecured loans, automotive financing, small business). You will have the opportunity to develop deep understanding of all of RBC's retail banking product offerings through advanced data analytics.

What will you do?

  • Support in developing and maintaining AI and machine learning credit risk models used in the credit decisions related to RBC's various lending business lines across all risk spectrums (from prime to subprime).

  • Extract, clean, validate, and analyze usable data from multiple data sources/providers in a distributed compute environment to quantify borrower behavioral patterns and market dynamics.

  • Support the construction of prediction systems through the usage of machine learning tools and advanced statistics to select features, create and optimize classifiers or regression models.

  • Present result in a clear and concise manner for non-technical stakeholders and comprehensive model documentation.

What do you need to succeed?

Must-have:

  • Currently enrolled in a related degree in computer science, finance, mathematics, statistics, or engineering.

  • Hands-on SQL and Python coding skills.

  • Understanding of advanced statistical methods, machine learning, and AI techniques for classification and regression tasks.

  • Demonstrated capability with AI tools such as copilot

Nice to have:

  • Experiences with large datasets and big data/cloud technologies (Hadoop, PySpark, S3).

  • Experience in code sharing and version control solutions (GitHub).

  • Ability to work with UNIX command line.

Please note:This posting is for a 8-months Winter 2027 Student placement with a start date of January 2027, and end date of August 2027. In order to be eligible for this 8-months Student position, you must either:

  • Be returning back to school after the work term end-date of August 2027 ; or
  • If you are not returning back to school (i.e. are graduating in August 2027), you must require the full 8-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying- candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangementsfor this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET27

Job Skills

Communication, Computer Literacy, Data Analytics, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Machine Learning (ML), Personal Development, Personal Initiative, Statistics

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-26

Application Deadline:

2026-09-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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