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Climate Data Scientist

Intercontinental Exchange Holdings, Inc.

London

On-site

GBP 60,000 - 100,000

Full time

11 days ago

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Job summary

Join a forward-thinking company as a Climate Data Scientist, where your expertise in climate science and data analysis will drive impactful initiatives. You'll work with a dedicated team to analyze global climate risks, utilizing advanced geospatial techniques and contributing to the development of in-house risk models. This exciting opportunity allows you to engage with complex datasets, collaborate across teams, and communicate findings to enhance products and processes. If you are passionate about climate science and eager to make a difference, this position is perfect for you.

Qualifications

  • PhD or Master’s degree in climate science, data science, or related field.
  • Expertise in physical risks like wildfire, flood, and hurricane.

Responsibilities

  • Analyze global physical climate risk data and build models linking climate stressors to economic impacts.
  • Program and write scripts to perform geospatial analyses.

Skills

Climate Science
Geospatial Analysis
Data Science
SQL
Python
R
Catastrophe Modeling
Analytical Skills
Problem-Solving Skills
Communication Skills

Education

PhD in Climate Science
Master’s in Data Science

Tools

Google Cloud Platform
BigQuery
Cloud SQL

Job description

Job Description

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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