Senior Associate, RIL

7 days ago

Mumbai, Maharashtra, India GIST Impact Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Role and Responsibilities: • Climate Risk Modelling & Scenario Analysis: Lead the development and application of advanced models for assessing physical (e.g., floods, heatwaves) and transition risks (e.g., policy shifts, low -carbon technologies) across sectors and asset classes, using tools like CLIMADA and aligned with NGFS, IPCC, and TCFD frameworks. • Environmental & ESG Data Analytics: Design and implement methodologies to model environmental impacts (carbon, water, waste, biodiversity) using large -scale datasets, LCA databases, geospatial data, and remote sensing tools for cross -sectoral risk quantification. • Financial Risk Integration: Collaborate with banks and financial institutions to embed climate and ESG risk indicators into credit rating models, stress testing frameworks, underwriting processes, and portfolio risk assessments to meet regulatory and disclosure expectations (e.g., CSRD, PCAF, EU Taxonomy). • Research Leadership & Regulatory Alignment: Drive applied research and thought leadership through publications, IP development, and academic collaborations. Ensure climate analytics methodologies stay aligned with evolving standards and frameworks (e.g., ISSB, GFANZ, SBTN). • Stakeholder Engagement & Communication: Present technical findings and strategic insights to clients, regulators, and internal teams. Contribute to multi -disciplinary innovation projects involving sustainability experts, data scientists, engineers, and product managers. Requirements Required Skills and Qualifications: • Climate & Environmental Risk Expertise: Over 4 years of hands -on experience in climate/environmental risk analysis, with a strong focus on the financial sector including work with banks, asset managers, DFIs, or credit rating agencies. Demonstrated ability to apply or develop risk models tailored to regulatory frameworks such as Basel III/IV, TCFD, NGFS, and IFRS S2. • Technical & Analytical Proficiency: Skilled in data science and statistical analysis using Python, R, MATLAB, and Excel. Experienced with climate datasets (e.g., CMIP6, ERA5, WorldClim), geospatial tools (QGIS, ArcGIS), and physical risk modelling frameworks like CLIMADA. Familiar with ESG standards and sustainability data integration. • Financial Risk Knowledge: Solid understanding of credit and market risk principles, with the ability to overlay climate and environmental risks into traditional financial risk frameworks. Strong grasp of financial concepts, credit assessment, and stress testing methodologies. • Research & Thought Leadership: Demonstrated thought leadership through publications, white papers, or industry contributions at the intersection of climate science, data analytics, and finance. Proven experience working in interdisciplinary teams spanning science, engineering, finance, and technology. • Communication & Collaboration: Excellent verbal and written communication skills with a strong command of English. Effective at presenting complex findings to technical and non -technical audiences. Highly collaborative, detail -oriented, self -motivated, and capable of managing work both independently and in team settings. • Qualification: Advanced degree (master's or PhD) in Environmental Science, Nature and Biodiversity related fields, Sustainability, or any related discipline.

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