Job
Description
As a Climate and Nature Risk 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. JPMorganChase (JPMC) is committed to understanding how climate change may drive or influence the risks we identify and manage. This includes evaluating how our business and the activities of our clients and customers could be impacted through transition and/or physical risks driven by climate change. The Firm s dedicated Climate, Nature and Social (CN&S) Risk team, which is led by our Firmwide Risk Executive for Climate Risk, is responsible for establishing the firmwide framework and strategy for climate risk management, developing and advancing climate risk policy and standards, and building our approach to climate risk data. The CN&S Risk team collaborates with stakeholders across the Firm to integrate climate considerations into line-of-business risk management frameworks. Job responsibilities Guide and 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/or NGFS scenarios. Produce documentation to support climate risk assessment models and user tools. Address regulatory expectations and requirements for managing climate-related risk. Provide mentorship to junior team members, offering guidance and support to enhance their professional growth and development. 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 (eg, Python, R) for data and geospatial analysis. Strong academic background in a highly quantitative discipline (eg, engineering, physics, geography, or maths). Highly effective in narrating analytical output to stakeholders, with strong interpersonal and presentation skills. Preferred qualifications, capabilities, and skills Masters degree in a quantitative field in economics, environmental science or technology Prior experience in the Climate Risk Space, preferably in the domain of climate stress testing/ scenario designing. Minimum 3-4 Yrs in the Risk domain eg Credit, market Liquidity risk in a Financial Institution Ability to articulate thoughts clearly and succinctly, both written and verbally.
