Job Purpose
Upcoming initiatives the successful candidate will contribute to include:
- Sourcing, processing, and analyzing global wildfire, hurricane, and flood data sets
- Utilise advanced geospatial analysis techniques and climate models to assess global climate risks and impacts on various sectors
- Contribute to the enhancement and development of the inhouse global physical risk models
- Interpret and apply data in complex analyses and explain findings to business audiences to improve products and processes
- Developing documentation and discussion points around climate data for dissemination to clients
Responsibilities
- Analyzing global physical climate risk data
- Ability to work alongside the team to analyze climate data in BigQuery
- Building models linking climate stressors to economic impacts
- Programming and writing scripts to perform geospatial analyses
- Coordinate across multiple internal teams, including product management, business development and general client services
Knowledge and Experience
- PhD or Master’s degree in climate science, data science, or related field
- Expertise in acute and chronic physical risks, especially wildfire, flood, hurricane, and extreme temperature risk
- Experience in catastrophe modeling, including model evaluation and/or development
- Industry experience
- Proficiency with database programming languages such as SQL, R, and Python
- Outstanding quantitative skill set
- Attention to detail and good problem-solving skills
- Analytical mindset
- Excellent written and verbal communication
In addition to the above technical skills and knowledge, you will inevitably acquire knowledge in the subject domains ICE’s Sustainable Finance, including:
- Municipal bonds, mortgage-backed securities, sovereign debt, and corporate bonds & equities
- Google Cloud Platform (BigQuery, Cloud SQL, Compute, Google Cloud Storage)
