Transition Risk Modelling Lead
4 weeks ago
This is an exciting opportunity to contribute to the development of a comprehensive climate and nature risk management framework within the financial services industry. As a Transition Risk Modelling Lead, you will play a key role in shaping the firm's approach to climate- and nature-related risk management, including both transition and physical risks.
About the RoleAs a member of 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 our climate and nature risk management framework against an ambitious timeline.
Key Responsibilities- Lead the development of transition risk analytical frameworks, with a focus on developing methodologies and conducting research on sectoral and corporate climate and nature mitigation transition strategies.
- 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.
- 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.
- 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.
We offer a dynamic and supportive work environment, with opportunities for professional growth and development. If you are passionate about climate and nature risk management and have the skills and experience to succeed in this role, we encourage you to apply.
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