Climate Data Specialist - Analyst

Posted Yesterday
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Manila, Metro Manila, National Capital Region, PHL
In-Office
Junior
Fintech • Financial Services
The Role
Build Python automation and AI-assisted workflows for climate and ESG data collection, transformation, quality assurance, anomaly detection, and reporting. Integrate LLM tools into operational processes, validate outputs, maintain dashboards, resolve data integrity issues, document improvements, and train analysts. The role supports scalable, auditable data operations across global company disclosures, vendor feeds, and public filings.
Summary Generated by Built In
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 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 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

Bachelor's 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 [email protected] 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.


Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or another quantitative field; Finance, Environmental Science, or Sustainability degrees accepted with strong technical experience.
  • At least 1 year of hands-on Python experience, with the ability to independently script, automate, and analyze data pipelines.
  • Demonstrated experience actively using generative AI and LLM tools in operational workflows.
  • Working knowledge of SQL.
  • Experience in data operations, data engineering, or analytical roles.
  • Strong analytical mindset and attention to detail.
  • Excellent written and verbal communication skills.
  • Ability to manage competing priorities in a global, deadline-driven environment.
  • Experience with Power BI or Tableau.
  • ESG or climate-related experience.
  • Understanding of TCFD, ISSB, GRI, and carbon reporting standards.

MSCI Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MSCI Inc. and has not been reviewed or approved by MSCI Inc..

  • Fair & Transparent Compensation Compensation is characterized as competitive in several functions, with strong total compensation cited for higher-paid roles and market-aligned packages described as a baseline.
  • Healthcare Strength Health coverage is positioned as comprehensive, including medical, dental, vision, mental-health support via an Employee Assistance Program, and care-navigation resources.
  • Retirement Support Retirement support includes a 401(k) with company contributions and automatic enrollment, plus related financial protections such as life and disability insurance and an HSA option with employer contribution when selected.

MSCI Inc. Insights

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The Company
HQ: New York, NY
5,040 Employees

What We Do

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

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