JPMorgan Climate Nature Risk Physical Modeller 

United Kingdom, England, London 

588626552

Are you prepared to influence the future of climate risk management at J.P. Morgan? As a crucial part of our Climate Risk Management team, you'll utilize your data, research, and communication skills to improve our physical climate and nature risk modeling capabilities. This role provides a unique chance to contribute to a fast-growing field with significant visibility within the firm. You'll bring robust data, research, and communication skills to support the expansion of physical climate and nature risk modelling capabilities across the firm. This is a fantastic opportunity to contribute to a rapidly evolving field within the financial services industry.

As a Climate and Nature Risk (Physical) Modeller in the Climate Risk Management team, you will play a crucial role in developing the firm’s approach to managing climate-related risks. You will work closely with internal counterparts to assess the potential implications of climate change on our global financial institution. This position is ideal for candidates with a background in climate, weather, or catastrophe modeling from finance, consulting, or applied academic research. We value candidates who are self-starters, articulate, and detail-oriented, with a strong sense of ownership and responsibility.

Job responsibilities

• Develop analytics to support climate and physical risk analytical frameworks, focusing on modeling methodologies and financial impact research.
• Conduct research on climate-related topics affecting the firm’s activities, designing metrics and models to assess financial risks.
• Become an expert in datasets and models used for climate risk management, such as IPCC scenarios and catastrophe models.
• Produce documentation to support climate risk assessment models and user tools.
• Address regulatory expectations and requirements for managing climate-related risk.
• Contribute content to the firm’s public and regulatory disclosures.

Required qualifications, capabilities, and skills

• Experience in climate modeling, including model evaluation and/or development, ideally applied to business cases.
• Excellent analytical skills and comfort working with large datasets.
• Proficient in a coding language (e.g., Python, R) for data and geospatial analysis.
• Strong academic background in a highly quantitative discipline (e.g., engineering, physics, geography, or maths).
• Highly effective in narrating analytical output to stakeholders, with strong interpersonal and presentation skills.

Preferred qualifications, capabilities, and skills

• Previous experience in assessing the financial impacts of climate risk (e.g., banking, consultancy, applied academia, insurance) is a bonus.
• Ability to articulate thoughts clearly and succinctly, both written and verbally.