MSCI is seeking a technically strong data professional to enable AI within the Climate Data and Content team. You will build tools, automate workflows, and leverage Python, generative AI, and modern data operations in day-to-day work.
You will own data collection cycles, design QA frameworks, develop dashboards, and collaborate with vendors and analysts to maintain data integrity in a global, deadline-driven environment.
Analyze and process climate-related data for global companies, using AI tools to automate workflows and ensure data quality for carbon metrics and sustainability reporting.
Financial Data Engineer Location: Dallas, TX, US Employment Type: FULL_TIME Your Team Responsibilities The Reference & Security Master Development Team is responsible and accountable for the architecture design,…
Build and deploy AI-driven data pipelines and APIs that turn MSCI’s financial, ESG, and climate datasets into self-service products for quant developers and portfolio managers.
Build and maintain scalable climate data pipelines and Python software for risk products using large geospatial datasets.
Build and maintain scalable climate data pipelines and Python software for risk products using large geospatial datasets.
Build and deploy AI-driven financial applications using LLMs, NLP, and agentic systems. Day-to-day work spans RAG, prompt engineering, and integrating AI into enterprise platforms.
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