Climate Risk Macroeconomic Modeler - Senior Associate/Vice President

J.P. Morgan; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading global financial institution is looking for a Climate Risk Macroeconomic Modeler - Senior Associate/Vice President to advance climate and nature risk capabilities. The role involves developing models, collaborating with climate scientists, and conducting original research. Candidates should have an advanced degree and experience in climate risk analysis, with skills in econometric software. This position is based in London, offering a unique opportunity to contribute to sustainable finance.

Qualifications

• Advanced degree required, preferably Ph.D.
• Experience in macroeconomic forecasting and climate risk analysis.
• Proficient in statistical modelling techniques.

Responsibilities

• Establish transmission channels between models.
• Develop climate risk scenarios for economic assessment.
• Collaborate with climate scientists and economists for comprehensive assessments.

Skills

Macro-economic forecasting

Climate risk analysis

Data analysis

Statistical modelling

Collaboration

Education

Advanced degree in Economics, Environmental Economics, or Climate Science

Tools

R

Stata

MATLAB

Python

Job description

Are you passionate about making a difference in the world of risk management? As part of our Climate, Nature, and Social Risk Modelling team, you will play a crucial role in maintaining JPMorgan Chase's strength and resilience. Your expertise in data analysis, research, and communication will help develop climate and nature risk capabilities across the organization. Collaborate with internal stakeholders to gain insights into the diverse factors influencing climate change assessments at a global financial institution. If you thrive in an agile environment and excel in leading and persuading others, this is the perfect opportunity for you.

As a Climate Risk Macroeconomic Modeler - 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.