AI Researcher - Emerging Risk

MSCI • Toronto, ON

56d

About The Position

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.

Requirements

• Bachelor's or Master's degree in Computer Science, Economics, Finance, or another quantitative field with demonstrated AI/ML expertise
• 1–3 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

Nice To Haves

• 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

Responsibilities

• Build production-level models and pipelines that deliver transparent, financially material signals for portfolio allocation decisions
• Work closely with AI and Engineering teams to translate research prototypes into scalable, operational systems.

Benefits

• 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 Women’s Leadership Forum.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 1,001-5,000 employees