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Ai Risk Jobs in Toronto, ON (NOW HIRING)

AI Researcher - Emerging Risk

Toronto, ON ยท On-site

CA$101K - CA$140K/yr

... like AI disruption, climate change, geopolitical risk, supply chain disruption, and demographic shifts. You'll build production-level models and pipelines that deliver transparent, financially ...

... like AI disruption, climate change, geopolitical risk, supply chain disruption, and demographic shifts. You'll build production-level models and pipelines that deliver transparent, financially ...

Credit Risk Modelling Senior Associate

Toronto, ON ยท Hybrid

CA$73K - CA$122K/yr

Artificial Intelligence (AI)/machine learning(ML)/Generative AI (GenAI)model development and validation * Model risk governance and controls related activities supporting clients in managing model ...

AI Governance, Risk & Compliance * Architect AI governance frameworks aligned with NIST AI RMF, ISO standards, and regulatory requirements. * Define AI risk classification, impact assessment, and ...

The use of AI, automation, and modern engineering practices is becoming a core expectation for this ... Partner closely with Risk Officers, Trading users, Front Office stakeholders, and Technology teams ...

Showing results 41-60

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

Infographic showing various Ai Risk job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Researcher - Emerging Risk

Toronto, ON โ€ข On-site

MSCI
Finance and Insuranceย โ€ขย 1 - 5K employees

CA$101K - CA$140K/yr

Full-time

Re-posted 27 days ago


Job description

The Emerging Risks R&D team is building MSCI's next-generation capability for measuring and classifying portfolio exposure to economy-wide structural themes.

Our team develops AI-native data pipelines and production models that enable investors to quantify company and portfolio exposure to emerging risks like AI disruption, climate change, geopolitical risk, supply chain disruption, and demographic shifts.

You'll build production-level models and pipelines that deliver transparent, financially material signals for portfolio allocation decisions, working closely with AI and Engineering teams to translate research prototypes into scalable, operational systems.


  • The Emerging Risks R&D team is building MSCI's next-generation capability for measuring and classifying portfolio exposure to economy-wide structural themes.
  • Our team develops AI-native data pipelines and production models that enable investors to quantify company and portfolio exposure to emerging risks like AI disruption, climate change, geopolitical risk, supply chain disruption, and demographic shifts.
  • You'll build production-level models and pipelines that deliver transparent, financially material signals for portfolio allocation decisions, working closely with AI and Engineering teams to translate research prototypes into scalable, operational systems.

  • Bachelor's or Master's degree in Computer Science, Economics, Finance, or another quantitative field with demonstrated AI/ML expertise
  • 3+ years of hands-on experience applying large language models and NLP techniques to text analysis, document classification, or information extraction
  • Strong Python programming skills with experience in modern AI frameworks (LangChain, LangGraph, LlamaIndex, HuggingFace) and data processing libraries
  • Experience translating ambiguous, qualitative concepts into taxonomies, classification schemas or decision frameworks suitable for systematic model design
  • Demonstrated ability to design prompts and decision rules that operationalize conceptual frameworks in LLM-based pipelines
  • Comfortable working in a fast-paced research environment with evolving priorities and iterative prototyping

Preferred Qualifications

  • Familiarity with vector databases, embedding models, and semantic search architectures
  • Experience with applied AI research methodologies and agentic workflows for information extraction, synthesis and decision support
  • Experience with cloud data platforms (Snowflake, Azure) and production ML deployment
  • Familiarity with knowledge graphs and supply chain network analysis

What we offer you

  • Salary range: $101,000 - $140,000 CAD / year plus eligible for annual bonus
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Womenโ€™s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision โ€“ to power better decisions. Youโ€™ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com


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About MSCI

Sourced by ZipRecruiter

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1969

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