Your Team Responsibilities

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.

Your Key Responsibilities

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.

Your Skills And Experience That Will Help You Excel

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

About MSCI

What we offer you

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.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’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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