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MSCI

Offers data, indexes, analytics for investments

Data Collection Transformation Senior Associate

Data ManagementUpdated on Nov 5
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Finance, Economics, Business, Environmental Science, Data Science, or a related interdisciplinary field is required.
  • Seven to twelve years of experience in large-scale data collection, research, data operations, or supply-chain analysis is required.
  • Experience leading projects to completion and working with stakeholders and team members is required.
  • Experience applying generative AI or large language models for data extraction, summarization, classification, or workflow automation is required, including building prompt-based workflows and evaluating model output.
  • Familiarity with AI agents, retrieval-augmented generation, or machine-learning-assisted quality is required.
  • Hands-on experience with Python for automation, web scraping, API integration, data cleaning, and high-volume processing is required.
  • Working knowledge of SQL and comfort handling large datasets are required.
  • The candidate must be able to interpret complex corporate disclosures and extract meaningful supply-chain insights.
  • Excellent written and verbal communication skills in English are required.
  • The candidate must be able to work effectively with global teams across multiple time zones and collaborate with cross-functional partners.

Responsibilities

  • Proactively source, analyze, and process global company disclosures, using generative AI to extract insights across data domains and models.
  • Work with annual reports, company websites, quantitative data feeds, web crawlers, and news articles to transform unstructured information into actionable intelligence.
  • Design and implement scalable, AI-assisted models to streamline data sourcing across multiple channels and ensure comprehensive issuer coverage.
  • Develop automation-friendly data collection methodologies that convert unstructured data into structured insights through AI-driven electronification.
  • Build and refine generative AI-powered data extraction models, continuously improving their accuracy, efficiency, and performance.
  • Manage, guide, and enhance AI agents, validating and improving their outputs and AI-generated insights through expert feedback.
  • Partner with technology and transformation teams to design, optimize, and engineer data workflows and operational processes.
  • Drive automation initiatives that improve data quality diagnostics, reduce manual intervention, and increase operational efficiency.
  • Work with internal stakeholders and downstream teams to understand data needs, define quality-control frameworks, and ensure seamless data delivery.
  • Review and process company feedback, address client queries, and contribute to a transparent, data-driven ecosystem.
  • Take ownership of and drive collection transformation projects in collaboration with the collection team and internal stakeholders.

Desired Qualifications

  • Climate or sustainability domain experience is an advantage.

About the Company

MSCI

Offers data, indexes, analytics for investments

MSCI provides data, indexes, analytics, and technology solutions for institutional investors, asset managers, and wealth managers across public and private markets. Its index products measure global markets, private asset data offers benchmarks and analytics for illiquid investments, and ESG data, models, and ratings help assess sustainability risk. Risk management and portfolio tools integrate analytics to support asset allocation and personalized portfolios, while research and partnerships broaden access to private market intelligence. The goal is to help clients make informed decisions, manage risk, and grow assets by delivering reliable data and practical tools in a single ecosystem.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1969

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