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.
- Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc.
- Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates.
- Evaluate new data sources and data collection methods for accuracy and effectiveness.
- Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape.
- Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions.
- Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions.
Qualifications/Skills
- Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field.
- Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models.
- Ability to use and interpret climate model outputs and projections, including those from CMIP datasets.
- Experience with AI or machine learning methods and developing predictive models is an advantage.
- Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio. Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF.
- Working knowledge of UNIX shell and Docker is beneficial.
- Solid data science and statistical analysis skills. Research experience or climate‑related publications are an advantage.
- Strong analytical, communication, and problem‑solving skills.
- Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment.
- Excellent written and spoken English. Knowledge of French or German is a plus.
- Experience in ESG or sustainable climate finance is considered an advantage.
What You Can Expect from Us
At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally.
Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success.
Let’s empower, collaborate, and inspire.
Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non‑discriminatory basis, consistent with all applicable federal, state, and local requirements.
