As a Climate, Nature and Social Risk Modelling Senior Associate/Vice President in the Climate, Nature, and Social Risk Modelling team, you will be instrumental in shaping the firm's approach to managing climate, nature, and social-related risks. You will collaborate with various internal stakeholders, using your strong skills in data analysis, research, and communication to support the development of climate and nature risk capabilities. Your proven track record of ownership and accountability will be essential as you engage in high-impact, large-scale initiatives, demonstrating your relationship-building skills and execution abilities.
Job responsibilities
- Establish and refine transmission channels between Integrated Assessment Models and large-scale global macro-econometric models.
- Contribute to climate and nature risk scenarios to assess the impact of related shocks on national, sectoral, and regional economies.
- Continuously improve existing macroeconomic models to better capture the complexities of climate and nature risks.
- Develop new models as necessary to address emerging economic issues related to climate and nature.
- Collaborate with climate scientists, economists, and risk professionals to ensure a comprehensive approach to climate and nature risk assessment.
- Integrate macroeconomic insights into broader risk strategies.
- Stay informed on the latest research and developments in macroeconomics, climate science, and related fields.
- Conduct original research to enhance understanding of the economic impacts of climate change and transition.
- Monitor regulatory changes and guidelines related to climate and nature risk management and scenario design.
- Ensure scenario analysis activities comply with relevant regulatory requirements and industry standards.
Required qualifications, capabilities, and skills
- Advanced degree (master’s or Ph.D.) in Economics, Environmental Economics, Climate Science, or a related field.
- Demonstrated experience in macroeconomic forecasting, climate risk analysis, or related areas.
- Solid background in econometric and statistical modelling techniques.
- Familiarity with climate models and the integration of climate data into economic models.
- Proficiency in econometric software and statistical tools (e.g., R, Stata, MATLAB, Python).
- Strong analytical skills to interpret complex data and model outputs.
- Ability to work effectively in cross-functional teams, collaborating with economists, climate scientists, and risk analysts.