Sustainability Analyst + Python/SQL/ R Programming
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.