Job
Description
This is an Associate level position with the Climate Data Collection team based out of Mumbai. We are seeking a detailed oriented candidate; with understanding of climate standards and regulatory frameworks and experience with AI-assisted workflows Your Key Responsibilities Drive Insightful Research: Proactively source, analyze, and process global company disclosures, leveraging generative AI to extract meaningful insights across diverse data domains and models. Unlock the Power of Information: Work with a vast array of data sources including annual reports, company websites, quantitative data feeds, web crawlers, and news articles to transform unstructured information into actionable intelligence. Revolutionize Data Collection with AI: Design and implement AI-assisted, scalable models that streamline data sourcing from multiple channels, ensuring comprehensive coverage of issuers. Automate & Scale Data Methodologies: Develop innovative, automation-friendly data collection methodologies that convert unstructured data into structured insights through advanced AI-driven electronification. Engineer Next-Gen AI Models: Build and refine generative AI-powered data extraction models, ensuring continuous improvement in accuracy, efficiency, and performance. Lead & Optimize AI Agents: Manage, guide, and enhance AI agents, serving as a validation layer to improve outputs and refine AI-generated insights through expert feedback. Shape the Future of Data Operations: Partner with technology and transformation teams to design, optimize, and engineer cutting-edge data workflows and operational processes. Enhance Data Quality & Efficiency: Drive automation initiatives that improve data quality diagnostics, reducing manual intervention and increasing operational efficiency. Collaborate for Impact: Work closely with internal stakeholders and downstream teams to understand data needs, define quality control frameworks, and ensure seamless data delivery. Engage with Companies & Clients: Review and process company feedback, address client queries, and contribute to a transparent, data-driven ecosystem that powers critical decision-making. Your Skills And Experience That Will Help You Excel Bachelors degree in the fields of Finance/Economics or Business Management, Environmental Science or Interdisciplinary Studies. Minimum of three (3) years experience in data collection, research, and data management; ESG or regulatory related experience would be an advantage Hands-on-experience with Python, SQL. Ability to perform data analysis using python Interest and drive for adoption of Generative AI/LLMs into production workflow to improve timeliness and quality of data. Experience of using GenAI tools for research and data analysis purposes Excellent oral and written communication skills in English Experience working on a global team in an international company is preferred. Strong interpersonal skills and ability to work with people in different offices and time zones. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women s Leadership Forum
