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 Quality, Process & Transformation (QPT) Team within the Company Data vertical is responsible for driving projects and efficiency initiatives across Company Data’s internal teams. It played an instrumental role in leading and shaping transformation efforts within company data by using their financial concepts, AI fundamentals, machine learning, prompt engineering, and technical skills like Python, Power BI, and SQL It is a techno-functional profile which has a perfect blend of functional knowledge of capital markets and technical expertise.

As a member of this dynamic team, you will be responsible for 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 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

Your Responsibilities

• Take the lead in finding 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• Spearhead key projects aimed at upgrading outdated systems, introducing innovative methods to boost operational performance.
• Offer support and guidance to colleagues in utilizing tools such as Python, Power BI, SQL, and machine learning to enhance the team's technical capabilities.
• 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

Skills and experience that will help you excel

• 2-4 Years of relevant experience with solid understanding of financial principles and their application in capital markets
• Proficiency in AI fundamentals, prompt engineering, and machine learning techniques.
• Strong programming skills for automation, data analysis, and database management. Expertise in data visualization and reporting using Power BI.
• Solid understanding of financial principles and their application in capital markets.
• Experience in automating manual processes to improve efficiency.
• Proven track record of building scalable, reliable platforms from the ground up.
• 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.