Data Scientist - Intercontinental Exchange
2 Months ago
London, England, United Kingdom
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Job Description
Intercontinental Exchange is seeking a Climate Data Scientist in London to support climate and ESG initiatives. The role involves analyzing global climate risk data, using geospatial analysis, and contributing to in-house research. Candidates should have a PhD or Master's in climate science or data science, with expertise in physical risks and programming skills. The position requires being in the office four days a week.
Job Purpose
Intercontinental Exchange's (ICE's) Climate Team is a leading provider of analytics and insights that underpin the financial sector's ability to respond to the interrelated crises of climate change and widening socioeconomic inequality.
We are searching for a multi-skilled candidate with expertise in climate science, geospatial analysis, and data science for the position of Climate Data Scientist. The data scientist will be responsible for supporting our global climate and ESG initiatives as part of our growing ICE Climate team, working alongside likeminded scientists, analysts, and engineers. The person will be part of a team responsible for planning, conducting, and coordinating in-house research. The job is a full-time position in London with a requirement to be in the office four days a week.
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)
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