Analyst, Climate and Sustainability Services
- Location
- Manila, Philippines
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
Skills
About this role
About the Role
Grade Level (for internal use): 10 The role: Shape the Future of Sustainable Finance. As a Climate & Sustainability Analyst, you will combine quantitative rigor and AI-driven analytics with sharp commercial instinct to help market leaders navigate the net-zero transition. Build & Innovate: Deploy AI workflows, rigorous quantitative models, and scenario analysis to assess climate risks and opportunities. Deliver Impact: Advise top financial institutions and enterprises on strategic decarbonization and evolving global standards. Win the Market: Act as a technical specialist with a client-first mindset, translating complex data into compelling pitches and winning proposals.
The Team
Powered by S&P Global’s unmatched data intelligence, the Climate and Sustainability Services team is a global powerhouse with a large number of market practitioners and academic experts. Operating without regional boundaries, we combine proprietary datasets and rigorous cross-disciplinary analytics to help global market leaders seamlessly embed climate and sustainability into core enterprise strategy. In this role, you will report into the Pacific Practice Lead, driving high-impact client solutions across the region and globally.
Key responsibilities
Collaborative Innovation & AI Transformation (Lead Driver): Thrive in a fast-paced, cross-functional global team—bringing an open, growth-oriented mindset to constantly challenge legacy workflows. Actively design, test, and deploy AI-driven solutions and automated analytical pipelines across all practice areas to accelerate client delivery, scale proprietary toolkits, and pioneer next-gen climate advisory products. Rigorous Project Management & Execution : Own project lifecycles from scoping to delivery—driving cross-functional workstreams, enforcing strict quality standards, managing timelines, and seamlessly coordinating global stakeholder inputs to exceed client expectations. Climate & Nature Analytics : Execute quantitative analyses on greenhouse gas (GHG) accounting (incl. financed emissions across asset classes), climate-related physical and transition risks (through scenario analysis methodologies), nature & biodiversity impacts and dependencies and target setting to evaluate clients’ key impacts, risk exposure and potential opportunities. Strategic Solutioning & Disclosures : Guide clients through global reporting standards, sustainability disclosure requirements and readiness, materiality assessments and relevant E&S risks and opportunities to craft sustainability-inclusive risk management frameworks, actionable transition plans and sustainability roadmaps. Project Delivery & Stakeholder Management : Collaboratively manage project workstreams with other team members, coordinate data collection processes, ensure quality control and synthesize complex technical outputs into executive-ready reports, briefings, and presentations with clear articulation of approaches and methodologies deployed. Cross-functional Collaboration & Commercial Enablement : Support regional leadership and commercial teams to drive business development through technical solutioning and drafting of client pitches and proposals. Essential Qualifications: Experience : More than 3 years of relevant experience in assessing climate risk, performing ESG analysis / advisory and/or executing corporate sustainability efforts and reporting with proven track record in project management and stakeholder management at multiple levels. AI, Quantitative & Technical Innovation : Combine strong quantitative modeling and statistical thinking across financial and ESG datasets with hands-on Python programming, API integration, and agent development. Operating with an agile, entrepreneurial mindset, you will rapidly prototype, test, and deploy automated workflows and prompt-engineered solutions. Translating client delivery workflows and business requirements into scalable, market-ready AI capabilities. Executive