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Ai Risk Analyst Jobs in Ontario (NOW HIRING)

Contribute knowledge quality data supporting AI quality and risk reporting. * Support investigation ... Strong research and analytical skills, with the ability to convert unstructured information into AI ...

Credit Risk Modelling Senior Associate

Toronto, ON ยท Hybrid

CA$73K - CA$122K/yr

Vertex AI, Azure AI,etc.is preferred * Solid understanding and knowledge of credit risk processes, credit risk analytics, risk rating methodologies, risk managementpoliciesand risk management ...

AI Analyst

Toronto, ON ยท On-site

CA$77K - CA$100K/yr

Analyzing workflows to define problems and identify and prioritize AI use cases based on value, impact, feasibility, and risk. * Coordinating AI solutions by documenting requirements and supporting ...

Showing results 41-60

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.

AI Solutions Lead, Strategic Initiatives, Automation, Efficiency

Scotiabank

Toronto, ON โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

Requisition ID: 249960
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The AI Solutions Lead will implement and deploy advanced AI and machine learning solutions to drive automation,ย 
efficiency, and innovation across the organization.Joining the Advanced Capability Office (ACO) within Global Risk Management, you will help advance the Bank's strategic pillars through innovation, scaling AI-driven solutions, and re-engineering processes for operational excellence.ย 

As the AI Solutions Lead, your focus will be to translate AI into business outcomes at scale. You will bring deep technical expertise to the team, implementing AI capabilities that address complex business challenges across Global Risk Management. You will lead the hands-on implementation of AI solutions and collaborate closely with key stakeholders to effectively execute AI needs across the organization. In addition, you will provide support for executing and formalizing AI standards of practice to ensure consistency and quality across all initiatives, while adhering to the Bank's AI Risk Governance framework.

Is this role right for you? In this role you will:

Implementation & Vendor Engagement

  • Identify use cases with stakeholders; define success metrics and guardrails.
  • Select build/buy options (custom models vs. platform features, e.g., Copilot/LLM services).
  • Assist in the strategic implementation and deployment of internal and vendor developed Large Language
  • Models (LLMs) for a wide array of banking applications, such as automated content generation (e.g., reports, summaries of financial documents), risk assessment insights, and internal knowledge management.
  • Orchestrate integration with enterprise systems (CRM, ERP, data platforms).
  • Manage pilots production; govern risk, ethics, privacy, security.
  • Generate actionable insights derived from LLM and Agentic AI analysis to strategically inform business decisions and drive innovation.
  • Create dashboards and reporting for a diverse range of stakeholders.
  • Manage relationships with AI vendors/platforms; evaluate contractual terms, privacy/security addenda, and SLAs.
  • Benchmark performance and negotiate renewals based on proven value realization.
    Strategic Leadership
  • Execute on AI roadmap and prioritize initiatives aligned with business objectives.
  • Identify opportunities for AI-driven automation in Global Risk Management.ย 
    Governance & Compliance
  • Ensure that all AI solutions comply with banking regulations and ethical AI standards, particularly regarding customer data transparency and responsible use of generative models.ย 
    Ensure strict adherence to data privacy and security standards, especially when handling sensitive customer data within generative AI systems.
    Collaboration & Communicationย 
  • Work closely with cross-functional teams to seamlessly integrate cutting-edge AI solutions into core banking operations.
  • Effectively communicate complex GenAI & LLM solutions, project progress, and challenges to both technical and non-technical stakeholders.
  • Lead end-user enablement & change management: training plans, role-based curricula, SOPs, job aids, and process redesign.
  • Drive adoption with champions, usage analytics, feedback loops, and monthly release notes


Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:ย 

  • 5+ years in technology delivery, analytics/ML, or enterprise transformation; 4+ years leading AI/ML initiatives.
  • Track record delivering AI solutions in production (LLMs, RAG, classification/regression, NLP) with measurable business outcomes.
  • Experience integrating solutions with enterprise systems (CRM, ERP, data platforms, identity/access).
  • Strong grounding in Responsible AI, privacy (PIA/DPIA), security best practices.
  • Experience with model risk management (MRM), internal audit, and compliance frameworks.
  • Demonstrated change leadership: training programs, SOPs, process redesign, and adoption management.
  • Vendor/platform management experience (contracts, SLAs, cost management, benefits tracking).
  • Familiarity with Microsoft ecosystem: Copilot for M365, Azure OpenAI, Azure ML, Purview, Entra ID.
  • Financial services or risk/credit portfolio domain experience.
  • Knowledge of observability tooling (e.g., ML monitoring, logs/metrics/traces), and CI/CD for ML.
  • Familiarity with Google Cloud Platform (GCP) or other cloud computing environments.
  • Demonstrable experience or a strong theoretical understanding of Large Language Models (LLMs), including fine-tuning, prompt engineering, and an awareness of their current capabilities and limitations.
  • Familiarity with Agentic AI frameworks or designing multi-step AI reasoning processes.
  • Strategic Thinking: Aligns AI initiatives to business outcomes and risk appetite.
  • Systems Thinking: Balances people, process, tech, and data for sustainable adoption.
  • Decision-Making: Pragmatic build/buy calls grounded in ROI, time-to-value, and risk.
  • Influence & Communication: Translates complex AI topics for excellent stakeholder management and executive communication skills.
  • Operational Excellence: Drives disciplined ModelOps, governance, and reliability. Ability to prioritize tasks, plan, and manage projects effectively in a fast-paced environment.
  • AI/ML certifications (AWS, Azure, Google)
  • PMP or Agile
  • Lean Six Sigmaย 

What's in it for you?

  • The opportunity to join a forward-thinking and collaborative team, surrounded by innovative thinkers
  • A rewarding career path with diverse opportunities for professional development
  • Internal training to support your growth and enhance your skills
  • An inclusive working environment that encourages creativity, curiosity, and celebrates success!

Location(s): ย Canada : Ontario : Torontoย 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.ย ย 
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let ourย  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.