Data Collection Transformation Job in Msci

Job Title:

Data Collection Transformation Senior Associate

Location:

Mumbai

Experience:

Relevant experience in data acquisition, ESG data management, process automation, and data quality.

Company:

MSCI

About MSCI:

MSCI is a global leader in decision-support tools and services for the investment community. With over 50 years of expertise in research, data, and technology, we help clients understand key drivers of risk and return, enabling them to build more effective portfolios with enhanced transparency.

At MSCI, we foster a culture of innovation, high performance, and inclusion, empowering our people to grow their careers through continuous learning and a wide range of internal mobility opportunities.

Your Team:

The ESG Data Collection team plays a critical role in acquiring, validating, and maintaining high-quality ESG data that powers MSCI s ESG products. As part of this team, you will work at the forefront of MSCI s ESG transformation agenda, driving projects that enhance data quality, scalability, and automation to meet the evolving ESG landscape and its growing importance in global financial markets.

Your Key Responsibilities:

• Collaborate with internal ESG Research and Technology teams to design and operationalize data collection processes aligned with evolving ESG and Climate frameworks.
• Work on electronification of ESG policies and principles by converting them into structured, operational data definitions.
• Develop data collection templates and translate them into implementable data models.
• Conduct hands-on research and analysis of company disclosures to support scalable data collection solutions.
• Analyze collected and third-party datasets to detect patterns and trends, enabling development of automated anomaly detection frameworks.
• Design and implement contextual/thematic QA checks to strengthen data quality controls, leveraging historical data correction patterns.
• Collaborate with technology teams to build NLP-driven data extraction models (leveraging both traditional methods and LLMs) to automate identification and extraction of relevant ESG facts from disclosures.
• Help establish and optimize new data collection processes while ensuring seamless integration with existing workflows.
• Deliver high-quality data aligned with MSCI methodology, service-level agreements, and regulatory requirements.
• Contribute to creating methodology and SOP documentation, embedding data and content expertise into internal processes.
• Drive process automation by developing tools and systems for automated data quality diagnostics, reducing manual intervention.
• Build dashboards and reports to visualize data quality metrics, identify outliers, and provide data-driven recommendations to stakeholders.
• Partner with internal stakeholders, including downstream teams, Research, and Product teams, to understand data requirements and ensure seamless delivery.

What We re Looking For:

• Strong analytical mindset with a keen attention to detail.
• Hands-on experience with Python/SQL for data analysis and process automation; exposure to Machine Learning/RPA is a plus.
• Experience working with visualization tools such as Power BI.
• Advanced Excel skills, with the ability to manipulate and analyze complex datasets.
• Self-starter with strong problem-solving abilities, capable of working in unstructured environments.
• Strong collaboration and communication skills, with comfort working across hierarchies, functions, and geographies.
• Previous experience in Financial Services, Technology, or Business Analysis, ideally with exposure to ESG data.
• Basic understanding of financial markets and asset classes; ESG knowledge would be a significant advantage.

Preferred Qualifications:

• Bachelor s or Master s degree in Finance, Economics, Environmental Science, Data Science, Business, or a related field.
• Certifications in ESG, Sustainable Finance, or Data Analytics are a plus.

What We Offer:

• Transparent compensation and comprehensive benefits tailored to your location.
• Flexible work options and access to cutting-edge technology.
• A culture of learning and development, with access to LinkedIn Learning Pro and Learning@MSCI.
• Clear career progression paths with opportunities for internal mobility and leadership development.
• A global network of talented colleagues, supported by inclusive Employee Resource Groups like Women in Tech, Climate Action Network, and more.