JPMorgan Transition Risk Modelling Lead - Executive Director 

United Kingdom, England, London 

552622724

As a Transition Risk Modelling Lead - Executive Director within the Climate, Nature and Social Risk team, you will conduct research, perform quantitative analysis, and manage data in Python or other relevant applications. You should have deep knowledge of climate risk and nature risk and be highly-motivated to help us enhance a comprehensive climate and nature risk management framework against an ambitious timeline.

You will also be collaborating with a variety of internal counterparts across the firm, learning about the many aspects relevant in assessing the potential implications of climate change on a large and global financial institution such as JPMorgan Chase.

Job responsibilities

• Lead the Climate, Nature and Social Risk transition risk analytical frameworks, with focus on developing methodologies and conducting research on sectoral and corporate climate and nature mitigation transition strategies
• Lead research on a range of climate and nature related topics that affect the firm’s activities
• Be an expert in climate and nature datasets used to manage these risks, forming conclusions on key trends and patterns and working with data providers to maximise our knowledge
• Build, maintain, own and analyse outputs from climate risk assessment models and user tools
• Lead the drafting and maintenance of documentation for climate and nature risk assessment models and user tools
• Address regulatory expectations and requirements for managing climate- and nature-related risk
• Lead the development of internal climate-nature scenarios used for risk management purposes

Required qualifications, capabilities, and skills

• Strong university degree (2:1 equivalent or above), in a climate-related or sustainability field, or in economics
• Work experience related to climate stress testing, (energy) transition modelling, and/or with sectoral decarbonisation pathways
• Quantitative academic foundations
• Strong sense of ownership and demonstrated ability to lead a team in producing deliverables with high standards and within tight deadlines
• Ability to convey information clearly, accurately and succinctly (both written and verbally) to inform and influence senior management
• Strong stakeholder management skills
• Excellent analytical skills: proficient in statistical modelling (Python) and comfortable working with large datasets
• Ability to draft high-impact presentations and documentation, strong attention to detail