Description

MSCI is an independent provider of research-driven insights and tools for institutional investors. We have deep expertise in the areas of risk and performance measurement that is based on more than 40 years of academic research, real-world experience and collaboration with our clients.

Your Team responsibilities 
MSCI, Inc. seeks a OneMSCI Solutions Researcher in Mexico City to support the development of interactive research experiences across asset classes. The team’s mission is to integrate MSCI’s data, indexes, analytics, ESG/Climate, real estate, and private assets into a seamless, client-centric front-end experience. The role will focus on using data visualization, AI-enabled tools, and rapid prototyping to translate MSCI’s research into actionable insights for various client segments. You will work closely with colleagues in Research & Development, product teams, and client coverage to create immersive solutions that redefine how clients engage with MSCI research and address market challenges.

Your key responsibilities 

• Leverage MSCI data and research to develop interactive visualizations, dashboards, and applications that showcase insights across asset classes.
• Use AI-powered tools (e.g., Cursor AI and other natural language interfaces), and visualization frameworks to create client-facing research applications.
• Deliver research using MSCI data that can be delivered using Jupyter Notebooks and Streamlit apps as alternatives to Excel and PowerPoint.
• Participate in client discussions, identify research needs, and help deliver scalable, impactful applications that address investment challenges.
• Stay informed on industry innovations (e.g., natural language query tools, competitor platforms) and integrate relevant features into OneMSCI front-end solutions.

Requirements

Specific Knowledge and skills:

• Bachelor’s or graduate degree in Data Science, Engineering, Computer Science, Mathematics, Quantitative Finance, or related field. CFA or advanced quantitative credentials are a plus.
• 3–5 years of relevant experience in financial research, data visualization, or solution prototyping within asset management, fintech, or related fields.
• Strong technical and quantitative background, with hands-on expertise in SQL, Python, visualization libraries (Plotly, Matplotlib), and rapid prototyping tools (Streamlit, Dash).
• Ability to collaborate across multi-disciplinary teams (research, product, engineering) and translate complex research into intuitive client-facing applications.
• Strong communication and presentation skills in English, with the ability to articulate research insights and demonstrate interactive tools to clients.