Climate Risk - Catastrophe Modeller - Senior Associate/Vice President

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Client:

Location:

London, United Kingdom

Job Category:

Finance

EU work permit required:

Yes

Job Reference:

13eee78362f3

Job Views:

91

Posted:

22.01.2025

Expiry Date:

08.03.2025

Job Description:

We currently have an opportunity for an experienced Catastrophe Modeller/Developer with a strong scientific background to join the physical risk modelling team and support the deployment of catastrophe modelling across . Morgan. This is an excellent opportunity to contribute to an exciting and rapidly evolving field within the financial services industry, with high focus and visibility within . Morgan.

As a Catastrophe Modeller in . Morgan’s Climate, Nature and Social Risk Management team, you will bring strong data, research and communication skills to the team to support the build-out of climate risk capabilities across the firm. You will also be interfacing 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 . Morgan Chase. Key to success in this role is the ability to work effectively and independently within an agile environment, deploy existing skills across a range of new challenges and be highly-motivated by developing solutions across a range of topics. You should be able to creatively develop solutions for complex topics and have strong interpersonal skills to help coordinate the implementation of those solutions; be a self-starter, able to articulate your thoughts clearly and have excellent attention to detail.

Job responsibilities

• Supports the day-to-day implementation of third party catastrophe modelling within the physical risk team coordinating with central data, tech and stakeholder modelling teams to source required data and run analyses.
• Undertakes detailed model review and validation exercises.
• Works with senior colleagues to develop innovative solutions to embed catastrophe modelling approaches into the Bank’s risk management framework including credit risk models.
• Helps develop an in-house analytical and model-driven approach on the appropriate physical risk scenarios for JPMorgan to consider, covering varying warming projections and developing an understanding of the range of potential outcomes.
• Establishes requirements and drives firmwide needs for collecting data on physical risk impacts and risk-related scenario analysis.
• Coordinates with other Risk teams, including the Consumer and Community Bank, the Corporate and Investment Bank, the Commercial Bank, Model Risk Governance & Review, and Chief Data Office teams, as appropriate, to determine how to best integrate physical risk data into BAU risk models.
• Works across broader climate modelling including climate scenario design, the macroeconomic impacts of climate and exposure to transition risk modelling.

Required qualifications, capabilities, and skills

• Strong academic background in a highly quantitative discipline, including engineering, physics, economics or maths.
• Solid professional experience in the application of catastrophe modelling at a broker, insurer, reinsurer, or model development firm.
• Experience in model evaluation and/or development; ideally applied to business cases in the insurance, reinsurance or banking sectors.
• Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts.
• Highly effective in narrating the analytical output to stakeholders, with an ability to convey information clearly, accurately and succinctly (both written and verbally).
• Practical experience of using one or more catastrophe risk modelling platforms. Proficiency in catastrophe risk modelling methods, terminology and metrics.
• Proficient with coding in either R or Python.

Preferred qualifications, capabilities, and skills

• PhD in relevant field.
• Knowledge of SQL with experience operating in big data environments.

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