Sustainability Analyst + Python/SQL/ R Programming

Job Description

About the Role:? We are seeking a highly skilled Analyst/Sr Analyst/Lead Analyst to join our team. As a member of the team, you will play a key role in supporting research, design, prototyping, and implementation of new analytical methodologies on climate risk and opportunities, environment and nature topics. You will collaborate with a global team to conduct analysis and ensure insight quality. Key Responsibilities: Support S&P Global in research, design, prototyping, and implementation of new analytical methodologies on climate physical risk, climate transition risk and opportunities, nature and environment topics. Maintain and enhance existing methodologies. Implement methodologies in S&P Global proprietary data platforms with a focus on automation, efficiency, and quality assurance. Engage in the Research Governance framework to uphold quality and transparency. Manage key project components with internal and external partners. Communicate insights and technical approaches clearly, including documentation for varied audiences. Collaborate with a global team to conduct analysis and ensure insight quality. Develop reports, factsheets, blog posts, and materials for various audiences. Provide market feedback to shape S&P Global? s climate and sustainability product innovation roadmap. Key Technical Skills: Strong quantitative background with relevant experience Proficiency in data science and coding languages like Python, R, SQL, or any other coding languages. Experience with Databricks is valuable. Subject Matter Expertise: Climate or atmospheric science Hazard modelling (e.g. floods, precipitation, drought) Catastrophe modelling and insurance Emissions factors Input-output models Nature and biodiversity Requirements: 3-7 years of relevant technical experience (i.e. worked on projects with Python/R/SQL or any other coding languages) One or more subject matter expertise as listed above, with experience working in the said subject area across product/services or projects. Strong quantitative background with an Engineering/Environmental Engineering degree preferred. Economics, Statistics or Physics background are also eligible. And/or Graduation/Post-Graduation in climate science/sustainability, or any other Natural Sciences related background with relevant post-qualification experience. Strong project management skills would be valuable, but not mandatory ? What We Offer: Opportunity to work with a global team on climate risk and opportunities, nature and environmental research. Chance to contribute to the development of methodologies and models that support S&P Global? s comprehensive sustainability data and analytical solutions. Collaborative and dynamic work environment. Professional development opportunities.