MSCI Institute - Summer Intern at MSCI Private… · US-NY-New…

Summary: MSCI Private Assets is a leading global investment intelligence firm, and they are seeking a technically ambitious summer intern for their MSCI Institute. The intern will explore AI-powered research and automation, working with the Research Director to develop AI agents that enhance research workflows across capital markets, geoeconomics, and sustainability. Responsibilities: - Design, build, and test AI agents using MSCI's suite of AI tools and APIs, translating research and analytical workflows into automated, scalable solutions - Map existing Institute research functions and processes to identify high-value candidates for automation or AI augmentation, producing a structured inventory of opportunities with implementation recommendations - Conduct original research on emerging AI methodologies — including multi-agent systems, retrieval-augmented generation (RAG), and LLM fine-tuning — and assess their applicability to investment and ESG research contexts - Report findings and prototypes directly to the Research Director, contributing to internal publications, presentations, and strategic recommendations on AI adoption within the Institute Required Qualifications: - Currently pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field - Hands-on experience with Python and relevant ML/AI libraries - Understanding of API integration - Experience working with large data-sets (quantitative, qualitative and abstract) Preferred Qualifications: - Exposure to agentic workflows, multi-agent orchestration, or RAG architectures - Experience with data analysis, quantitative methods, or statistical modeling - Familiarity with financial markets, capital markets research - Prior internship, research project, or coursework at the intersection of AI and a domain application (finance, policy, climate, etc.) - Intellectually curious with a bias toward building and experimentation - Ability to communicate technical findings clearly to non-technical stakeholders - Comfortable working in an ambiguous, research-oriented environment with significant autonomy Required Skills: Python, Machine Learning, Artificial Intelligence, API integration, Data analysis, Quantitative methods, Statistical modeling, Large data-set handling, Multi-agent systems, Retrieval-augmented generation (RAG), Financial markets knowledge, Capital markets research, Intellectual curiosity Benefits: 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., We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups.