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 14000 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
- Develop SOPs process documentation and knowledge-base articles to ensure audit-readiness and scalable knowledge transfer
- Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity
Stakeholder Collaboration
- 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 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 or Masters 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 | 47 years in data operations data engineering or analytical roles; ESG/Climate exposure is a strong advantage |
Programming | Proficient in Python (minimum 2 years hands-on); able to independently script automate and analyse 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 requiredEducation Bachelors or Masters 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 47 years in data operations data engineering or analytical roles; ESG/Climate exposure is a strong advantage Programming Proficient in Python (minimum 2 years hands-on); able to independently script automate and analyse 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 |
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 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 Womens Leadership Forum.
At MSCI we are passionate about what we do and we are inspired by our vision to power better decisions. Youll 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 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
Required Experience:
IC
Your Team ResponsibilitiesThe Climate Data and Content team is responsible for research and assessment of carbon footprint and climate-related business initiatives for approximately 14000 companies globally. We are evolving our operating model shifting from manual document-heavy workflows to intell...
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 14000 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
- Develop SOPs process documentation and knowledge-base articles to ensure audit-readiness and scalable knowledge transfer
- Contribute to working groups and cross-functional projects aimed at expanding data coverage and operational capacity
Stakeholder Collaboration
- 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 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 or Masters 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 | 47 years in data operations data engineering or analytical roles; ESG/Climate exposure is a strong advantage |
Programming | Proficient in Python (minimum 2 years hands-on); able to independently script automate and analyse 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 requiredEducation Bachelors or Masters 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 47 years in data operations data engineering or analytical roles; ESG/Climate exposure is a strong advantage Programming Proficient in Python (minimum 2 years hands-on); able to independently script automate and analyse 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 |
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 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 Womens Leadership Forum.
At MSCI we are passionate about what we do and we are inspired by our vision to power better decisions. Youll 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 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
Required Experience:
IC
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