ISS | Institutional Shareholder Services · 1 day ago
Climate Data Scientist
ISS is a leading provider of research and technology solutions for the financial market, and they are seeking a Climate Data Scientist to enhance climate risk models and develop new analytical tools. The role involves working with large geospatial data sets to support financial market participants and governments in understanding climate-related risks.
FinanceFinancial ServicesFinTech
Responsibilities
Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team’s data science-driven product development efforts
Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods
Develop custom data models and algorithms to apply to data sets. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc
Help maintain and improve existing datasets, models and pipelines. Contribute to regular data updates
Assess the effectiveness and accuracy of new data sources and data-gathering techniques
Coordinate with other Sustainability and climate and nature-risk products and understand the competitor landscape
Support colleagues and clients on ISS Sustainability product offerings as a topic expert, including day-to-day communications and operations. Help client-facing teams with product use and specialist client questions
Analyse international regulatory requirements, public datasets, scenario data, etc., to identify how to add value and develop new climate-related sustainable finance products
Qualification
Required
Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent
Experience as a climate scientist, hazard modeller, environmental engineer or similar, with expertise in developing or maintaining large climate physical hazard models, e.g. in atmospheric sciences, climate change, climate impacts, physics-based climate hazard modelling or natural catastrophe modelling transforming frontier research to production workflows
Experience using and interpreting climate model output and climate model projections (such as from CMIP5 and CMIP6)
Experience in leveraging AI/ML and developing AI-driven solutions, and/or predictive models. Demonstrable experience in PyTorch or TensorFlow, JAX or similar. Experience training ML models on large and noisy datasets is a plus
Comfortable working with large geospatial and climate data and different file formats (NetCDF, Zarr, GeoTIFF). Ability to work with geospatial data analysis tools and technologies, including QGIS and Python Xarray/Dask/Rasterio. Good working knowledge of UNIX shell and docker
Robust data science and statistical analysis capabilities
Excellent communication, Strong analytical skills and problem-solving capabilities
Ability to work collaboratively and to efficiently work with teams across different locations and time zones in a fast-paced environment
Excellent oral and written command of English
Preferred
Previous research and publishing climate papers experience is a plus
French or German is a plus
Previous experience in ESG and/or Sustainable Climate Finance is a plus
Benefits
Medical, Dental, and Vision coverage
401(k) with a company match up to 9%, including a Safe Harbor contribution
Flexible Spending Account (FSA) and commuter benefit programs
Generous paid time off
Volunteer Day
Paid parental leave
Hybrid working options
Company
ISS | Institutional Shareholder Services
Founded in 1985, Institutional Shareholder Services group of companies (ISS) empowers investors and companies to build for long-term and sustainable growth by providing high-quality data, analytics and insight.
H1B Sponsorship
ISS | Institutional Shareholder Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (8)
2022 (15)
2021 (16)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
unknown2020-11-17Acquired
Recent News
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