Climate Data Specialist - Analyst

MSCI Inc.; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Transparent compensation schemes

Flexible working arrangements

Learning@MSCI platform

AI Learning Center

Job summary

MSCI Inc. is seeking a technically strong data professional to act as an AI enabler within the Climate Data and Content team. You will build tools, automate workflows, and leverage Python, generative AI, and modern data practices in day-to-day work.

You will own end-to-end data collection cycles, design QA frameworks, and develop dashboards to support SLA tracking and coverage. A strong foundation in Python and ESG data, with SQL and BI tooling experience, is required.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field.
• Experience in data operations, data engineering, or analytical roles; ESG/Climate exposure is a strong advantage.
• Proficient in Python (minimum 1 year hands-on); able to script, automate, and analyze data pipelines.
• Active user of generative AI and LLM tools with demonstrated workflow integration experience.
• Working knowledge of SQL; experience with Power BI or Tableau desirable.
• Understanding of climate frameworks (TCFD, ISSB, GRI) and carbon reporting standards.
• Strong analytical mindset, attention to detail, and excellent written and verbal communication.
• Ability to manage competing priorities in a global, deadline-driven environment.

Responsibilities

• Act as the team's internal AI champion — identify automation opportunities, prototype solutions, and drive adoption of AI tools across daily workflows.
• Build and maintain Python scripts to automate data collection, transformation, QA, and reporting tasks.
• Integrate LLM-based tools into operational workflows for document extraction, content classification, and anomaly detection.
• Design AI-friendly data collection methodologies 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 — sourcing, processing, and validating climate and ESG data from company disclosures, vendor feeds, and public filings.
• Design and implement multi-layer QA 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 SLA tracking and coverage monitoring.
• Identify and resolve data integrity issues, coordinating with vendors, internal analysts, and technology teams as needed.
• Identify opportunities to simplify, standardise, and scale existing workflows through tooling and automation.
• Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity.
• Train and support analysts in adopting new tools, scripts, and AI-assisted workflows.
• Communicate clearly with internal and external stakeholders on data methodology, process changes, and query resolution.

Skills

Python

AI/GenAI

Data pipelines

Analytical mindset

SQL

Data ops

Communication

Prioritization

Education

Bachelors in CS/DS/Stats/Engineering

Tools

SQL

Power BI

Tableau

Job description

Job Description:

Your Team Responsibilities

The Climate Data and Content team is responsible for research and assessment of carbon footprint and climate-related business initiatives for approximately 14,000 companies globally. We are evolving our operating model — shifting from manual, document-heavy workflows to intelligent, scalable, and auditable data processes powered by AI and automation.

This role sits at the heart of that transformation. We are looking for a technically strong data professional who can serve as an AI enabler within the team — someone who builds tools, automates workflows, and leverages Python, generative AI, and modern data operations practices in day-to-day work.

Your Key Responsibilities

AI Enablement & Automation

• Act as the teams internal AI champion — identify automation opportunities, prototype solutions, and drive adoption of AI tools across daily workflows
• Build and maintain Python scripts to automate repetitive data collection, transformation, QA, and reporting tasks
• Integrate LLM-based tools (e.g., Claude, Copilot, ChatGPT) into operational workflows for document extraction, content classification, and anomaly detection
• Design AI-friendly data collection methodologies 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

Data Operations & Quality Assurance

• Own end-to-end data collection cycles — sourcing, processing, and validating climate and ESG data from company disclosures, vendor feeds, and public filings
• Design and implement multi-layer QA 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 SLA tracking and coverage monitoring
• Identify and resolve data integrity issues, coordinating with vendors, internal analysts, and technology teams as needed

Process Improvement & Documentation

• Identify opportunities to simplify, standardise, and scale existing workflows through tooling and automation
• Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity

Stakeholder Collaboration

• Train and support analysts in adopting new tools, scripts, and AI-assisted workflows
• Communicate clearly with internal and external stakeholders on data methodology, process changes, and query resolution

Your skills and experience that will help you excel

Education

Bachelors degree in Computer Science, Data Science, Statistics, Engineering, or a quantitative field. Degrees in Finance, Environmental Science, or Sustainability considered with strong technical experience.

Experience

Experience in data operations, data engineering, or analytical roles; ESG/Climate exposure is a strong advantage. Fresh grads are welcome to apply.

Programming

Proficient in Python (minimum 1 years hands-on); able to independently script, automate, and analyze data pipelines

AI & GenAI

Active user of generative AI and LLM tools with demonstrated experience embedding them into operational workflows

Data & BI Tools

Working knowledge of SQL; experience with Power BI or Tableau desirable

Climate / ESG

Understanding of climate frameworks (TCFD, ISSB, GRI) and carbon reporting standards is advantageous but not required

Soft Skills

Strong analytical mindset, attention to detail, excellent written and verbal communication, and ability to manage competing priorities in a global, deadline-driven environment

Mindset

Proactive, curious, and eager to challenge the status quo — comfortable working at the intersection of data, technology, and sustainability

About MSCI

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, AI Learning Center , 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.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [e-mail] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

Requirements: