Catastrophe Modelling - Climate Nature & Social Risk Executive Director

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Corporate Sector

Lead the development and implementation of advanced catastrophe modelling strategies for climate, nature, and social risk at JPMorgan Chase. This role involves integrating third-party models, developing tailored solutions for physical climate risks, conducting model review and validation, and collaborating with various risk and data teams to integrate physical risk data into business-as-usual risk models. Requires expertise in catastrophe modelling software and quantitative skills.

What you'd actually do

  1. Lead the implementation and integration of third-party catastrophe models within the physical risk team, coordinating with central data, technology, and modelling teams to source data and conduct analyses.
  2. Develop and tailor catastrophe modelling solutions to support risk identification, assessment, and management for physical climate risks, including event response activities.
  3. Conduct detailed model review and validation, providing recommendations for model adjustments and serving as a subject matter expert in natural catastrophe and climate science.
  4. Define requirements and drive firmwide initiatives for collecting and managing data on physical risk impacts; stay abreast of emerging developments in catastrophe modelling.
  5. Collaborate with other risk teams (e.g., Consumer and Community Bank, Corporate and Investment Bank, Commercial Bank, Model Risk Governance & Review, Asset Management, Chief Data Office) to integrate physical risk data into business-as-usual (BAU) risk models.

Skills

Required

  • Advanced degree in a quantitative discipline such as engineering, physics, economics, or mathematics.
  • Minimum 10 years of professional experience in catastrophe modelling, ideally within a broker, insurer, reinsurer, or model development firm.
  • Expertise in Verisk/AIR or Moody’s/RMS modelling software, with proficiency in catastrophe risk modelling methods, terminology, and metrics is a must.
  • Demonstrated experience in model evaluation, validation, and/or development, with application to insurance, reinsurance, or banking business cases.
  • Strong leadership skills, with the ability to influence, lead cross-functional teams, and drive strategic initiatives.
  • Excellent communication skills, with the ability to clearly and succinctly convey complex analytical outputs to stakeholders (both written and verbal).
  • Proficiency in programming languages such as R or Python and geospatial data analysis

Nice to have

  • Advanced degree (PhD preferred) in a quantitative discipline such as engineering, physics, economics, or mathematics.
  • Knowledge of climate scenario analysis, regulatory requirements, and their application to banking is a plus.

What the JD emphasized

  • Expertise in Verisk/AIR or Moody’s/RMS modelling software, with proficiency in catastrophe risk modelling methods, terminology, and metrics is a must.
  • Demonstrated experience in model evaluation, validation, and/or development, with application to insurance, reinsurance, or banking business cases.