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MSCI

Offers data, indexes, analytics for investments

Climate Data Specialist

Data ManagementConfirmed live in the last 24 hours
Full-timeSofia, BulgariaIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field is required; degrees in Finance, Environmental Science, or Sustainability may be considered with strong technical experience.
  • One to three years of experience in data operations, data engineering, or analytical roles is required; ESG or climate exposure is advantageous.
  • At least two years of hands-on Python experience and the ability to independently script, automate, and analyze data pipelines are required.
  • Active use of generative AI and large language model tools, with demonstrated experience embedding them into operational workflows, is required.
  • Working knowledge of SQL is required.
  • Understanding of climate frameworks such as TCFD, ISSB, and GRI, and carbon reporting standards, is advantageous but not required.
  • Strong analytical thinking, attention to detail, written and verbal communication, and the ability to manage competing priorities in a global, deadline-driven environment are required.
  • A proactive and curious approach, willingness to challenge existing practices, and comfort working across data, technology, and sustainability are expected.

Responsibilities

  • Identify automation opportunities, prototype solutions, and promote adoption of AI tools across the team's daily workflows.
  • Build and maintain Python scripts to automate repetitive data collection, transformation, quality assurance, and reporting tasks.
  • Integrate large language model tools, including Claude, Copilot, and ChatGPT, into operational workflows for document extraction, content classification, and anomaly detection.
  • Design AI-friendly data collection methods that convert unstructured disclosures into structured, machine-readable formats at scale.
  • Validate AI-generated outputs, understand model limitations, and maintain human-in-the-loop accountability.
  • Own end-to-end data collection cycles, including sourcing, processing, and validating climate and ESG data from company disclosures, vendor feeds, and public filings.
  • Design and implement multi-layer quality assurance frameworks, rule-based checks, and anomaly detection logic to ensure data accuracy and consistency.
  • Develop and maintain operational dashboards, trackers, and reference systems to support service-level agreement tracking and coverage monitoring.
  • Identify and resolve data integrity issues in coordination with vendors, internal analysts, and technology teams as needed.
  • Identify opportunities to simplify, standardize, and scale existing workflows through tooling and automation.
  • Develop standard operating procedures, process documentation, and knowledge-base articles to support audit readiness and scalable knowledge transfer.
  • Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity.
  • Partner with Research, Product, and Technology teams to align on data requirements and translate business needs into technical solutions.
  • Train and support analysts in adopting new tools, scripts, and AI-assisted workflows.
  • Communicate with internal and external stakeholders about data methodology, process changes, and query resolution.

Desired Qualifications

  • Experience with ESG or climate-related work.
  • Experience with Power BI or Tableau.
  • Understanding of climate frameworks such as TCFD, ISSB, and GRI, and carbon reporting standards.

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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