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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

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 ...

This role will focus on helping define and build the AI landscape within Market Risk North America ... The ideal candidate will bring strong programming and analytical skills, a keen attention to detail ...

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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 ...

Strong analytical, documentation, communication, and stakeholder management skills. Experience with AI governance, model risk management, privacy, or security practices is an asset. What Success ...

Strong analytical, documentation, communication, and stakeholder management skills. Experience with AI governance, model risk management, privacy, or security practices is an asset. What Success ...

Credit Risk Reporting & Allowance coordinates and produces a wide array of analysis, reporting, and ... Experience with Python, SQL/database querying, Power BI and utilizing AI-assisted development and ...

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

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.

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.

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 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 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

CA$95K - CA$105K/yr

Full-time

Re-posted 11 days ago


Job description

SYSTRA Canada is part of the SYSTRA group, an international consulting and engineering group, a world leader in the design of transport infrastructures. SYSTRA Canada is an engineering and consulting firm whose primary focus is to offer transportation solutions, whether for passengers or goods: feasibility studies of building a new railway line, increasing the capacity of the existing infrastructure, privatization of a railway.

Understand better who we are by visiting www.systracanada.com.


We are lookig for a Risk Analyst for a Rail & Transit project in Ontario. 


  • Assist with the implementation and management of risk management services per the mission and goals of projects and programs from inception through to completion
  • Ensure that work is fully supported from a consulting standpoint in an integrated, compliant, efficient, and cost-effective manner
  • Finalize the budget and operating or delivery plan for the risk management services in consultation with the project or program team and client
  • Provide the final review and approval of the completed material planning to successfully deliver risk management services
  • Review changes and interventions to ensure risk management service goals are achieved on the project or program
  • Facilitate various project focus or function meetings with a spotlight on service initiatives
  • Set and interpret service expectations while delegating and managing deliverables with team members
  • Build and maintain a positive, high-performing team culture with an openness to constructive challenge, continuous improvement, implementation of lessons learned, and an overall ‘right-first-time” mindset
  • Reinforce acceptable standards of workmanship through every stage of the project
  • Supervise and guide clear and focused staff performance objectives (including noncompany resources) to ensure excellence in results
  • Promote a project environment that is inclusive, and diverse and celebrates our differences 
  • Clarify internal quality control check and resolve quality issues for the project 
  • Prepare procedures and work instructions and ensure that all program team members 
  • Comply with the risk management plan, procedures, and requirements of the assigned scope of work 
  • Develop risk breakdown structure aligned with project WBS and CBS 
  • Prepare risk training materials and train the project team on the principles of risk
  • Evaluate risk registers at the project and program level, ensuring quality standards are met 
  • Perform quantitative cost and schedule risk analysis using Risk Management software (e.g. Oracle Primavera Risk Analysis, Acumen Risk, etc.) and provide the interpretation of results (e.g. Distribution S Curve Graph, Sensitivity Analysis Tornado Chart and Deep Dive Schedule Logic)
  • Follow up with risk owners to ensure the mitigation actions are on track, including escalation where required
  • Review contractor progress reports and identify the risks impacting project cost and schedule and reflect them in the risk register
  • Work closely with scheduling to prepare a high-level schedule (or assess detailed schedules) to be used for quantitative schedule risk analysis and define the link between risks, duration uncertainties, and schedule activities
  • Liaise with cost to monitor project contingency utilization and alignment with cost risk exposures
 

  • 4-6 years of experience in Risk Management
  • Bachelor’s degree in a relevant field
  • Holding recognized certifications including Risk Management Professional (RMP) and Project Management Professional (PMP)
  • Experience of effective risk leadership on complex construction projects.
  • Comprehensive knowledge of risk tools, techniques, and software

Annual Base Salary Range - $95,000 - $105,000

The salary range provided below serves as a general guideline and reflects typical offers for this position.

It is not intended as a strict range; in certain situations, actual compensation may vary when justified.


SYSTRA Canada is committed to having a diverse and inclusive workforce.

« SYSTRA Canada has an equal access employment program and encourages women, Indigenous peoples, visible minorities, and people with disabilities to apply. »

Note: In this description, the masculine gender is used for easy reading purposes and includes the feminine.

We use AI-enabled tools in our recruitment platform (iCIMS) for tasks like resume parsing and candidate matching. These tools do not make hiring decisions; all applications are reviewed by a human recruiter, and final decisions are made by our hiring team. For questions about our hiring process or AI tools, please contact infocanada@systra.com.