Company Data Associate

Your Team Responsibilities

Company data team (CDO) of MSCI is responsible for the processing, maintenance, and quality control of various Issuer level data points pertaining to Fundamental data (Balance sheet, Income statement & Cashflow), Segment Data and GICS assignment to the company. These datapoints and the derived ratios based on these data in turn serve as inputs to its various products related to Equity, Fixed income and ESG & Climate of MSCI.

The Fundamental Data (FD) Team within the Company Data vertical is responsible for maintaining and improving our large sets of fundamental data. They help keep our data accurate and expand our coverage using financial knowledge, AI, machine learning, and technical skills like Python, Power BI, and SQL.

As a member of this dynamic team, you will be responsible for Maintain and improve large data sets,identifying opportunities to automate and optimize manual processes, fostering a culture of continuous improvement. You will guide your peers in leveraging automation to streamline operations and deliver tangible results. If you’re passionate about AI, thrive in a fast-paced, self-driven environment, and want to leave a lasting impact on the business, this is the perfect role for you.

We seek a highly skilled member with Strong understanding of financial concepts, corporate events, and data certification, a proven track record in developing large-scale, reliable platforms from the ground up, not just applications or solutions. Experience in delivering multiple successful versions of platforms over time is a key advantage. You’ll collaborate closely with teams across product, research, operations, and program management, ensuring that the platforms you build are not only built to last but deliver immediate and long-term value.

This is a highly visible and impactful role that offers the opportunity for long-term growth within MSCI.

Your Key Responsibilities

• Person will be responsible for executing Index projects and certifying the ongoing and historical data.
• Take lead in creating data validation process to maintain and improve large data sets.
• To find panic areas where processes can be improved and automated through advanced AI tools and programming solutions.
• Spearhead key projects aimed at upgrading outdated systems, introducing innovative methods to boost operational performance.
• Partner with various teams, including product development, research, and operations, to ensure cohesive project execution and solution delivery.
• Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals.
• Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness.
• Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives

Your skills and experience that will help you excel

• 2-4 years of relevant experience with a solid understanding of financial principles and their application in capital markets.
• Experience in automating manual processes to improve efficiency.
• Basic programming skills for automation, data analysis, and database management.
• Ability to guide teams in driving transformation and identifying optimization opportunities.
• Strong cross-functional teamwork with product, research, operations, and management teams.
• Skilled in identifying inefficiencies and creating innovative solutions.
• Ability to thrive in fast-paced, evolving environments with long-term commitment to projects.
• Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques.