Quantitative Analyst Climate

Role purpose: Develop and apply quantitative methods to measure, forecast, and manage climate-related financial risks and opportunities across portfolios, products, and risk frameworks.

Key responsibilities

Build and maintain climate risk models (physical and transition) for scenario analysis, stress testing, and portfolio impact assessment.
Integrate climate data (e.g., emissions, hazard, energy, policy) into analytics pipelines and ensure data quality, lineage, and governance.
Design metrics and dashboards for climate exposure, alignment, and risk (e.g., temperature alignment, financed emissions, sector sensitivity).
Partner with risk, investment, and sustainability teams to translate model outputs into actionable insights and recommendations.
Document methodologies, assumptions, and limitations; support internal validation, audit, and regulatory reporting needs.
Monitor emerging climate science, regulations, and market practices; iterate models and frameworks accordingly.

Required skills and qualifications

Strong quantitative background in statistics, econometrics, applied mathematics, physics, or a related field.
Proficiency in Python and/or R; experience with SQL and reproducible analytics workflows.
Experience with time series, machine learning, or optimization; ability to evaluate model performance and uncertainty.
Familiarity with climate scenarios (e.g., NGFS), climate risk concepts, and financial risk modeling.
Clear communication skills to explain complex models to technical and non-technical stakeholders.

Do you want to help identify what a changing climate means for Rabobank and its clients?

You & your role

As Quantitative Analyst Climate at RaboResearch you are crucial in understanding climate-related risks and impacts. Your work includes (geospatial) climate and sustainability analysis based on large datasets (e.g., on the comprehensive datasets of physical risk of a changing climate projections, transition risks). You will be part of the team that delivers data for Rabobank’s Climate Risk assessments and climate impact analysis.

Examples from practice

Assesses the financial impact of climate change by analyzing the rising frequency of extreme weather events and longterm climate trends using scenariobased climate data covering acute and chronic risks.
Partner with risk teams, the business, and climate scientists to turn hazard projections into actionable insights.
Produce sustainability insights for clients by leveraging generative AI to efficiently extract key data points from client reports.

Facts & figures

36 hours per week.
You work in a team of 12 sustainability data specialists within RaboResearch.
Over 48,000 Rabobank colleagues worldwide.

Top 3 responsibilities

Develop geospatial models and data processing pipelines to assess risk and impact of natural climate hazards, such as floods and droughts, under various climate scenarios. Combining geospatial data from different sources to estimate the current and future probability of impactful events across multiple regions in the world.
Use your extensive knowledge in (geospatial) climate modelling, and quantitative research skills, to work in a cloud-based analytics environment to produce climate risk indicators, but also support in broader sustainability analytics such as using AI to assess company sustainability performance
Engage with scientists and external initiatives to stay up to date with the latest developments and collaboratively steer them to align with Rabobank's needs.

Use geospatial analytics and climate data to deliver concrete insights on climate risk and impact for Rabobank’s global activities, connecting science, data and decision-making in daily practice.

Together we achieve more than alone

We believe in the power of differences. By combining people’s differences, we become an even better bank. We are curious about what you will bring to our team at Sustainability Data Analytics within RaboResearch.

“What I really enjoy is making direct impact: I help identify climate risks for our portfolio by developing geospatial analysis on the basis of big data from climate models.” Feliks Raap, Quantitative Analyst at RaboResearch.

Rabobank finances farmers and food supply chain clients around the world. Climate change poses a risk to their operations, and therefore to the bank. At the same time, our financing impact climate change through our financed emissions. How can we use (geospatial) data to quantify risks and impacts in these areas? Which type of data do we need to do so? And how can we reduce the risks and negative impacts?

Answering these questions is how you share your talent as Quantitative Analyst Climate at Rabobank, working together with colleagues in risk, data teams and sector experts. The 12 people of the Sustainability Data Analytics team deliver climate risk data and sustainability insights for Rabobank. Collaboration is our way of working; as one analytical and data-minded team within Rabobank, closely connected to risk, data and sector experts.

Work on yourself & the world around you

For us, your development and that of society go hand in hand. That is why we invest in you and work together to create a better world. At Rabobank, you work on yourself and the world around you simultaneously.This is reflected in your personal development budget, our hybrid work environment and a healthy work-life balance. You also contribute to social themes such as the food, climate and energy transitions.

Why everyone is welcome at Rabobank

At Rabobank, we work towards a culture where everyone feels welcome. We value differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment where colleagues feel heard and supported.

You & your talent

Master’s degree or PhD in environmental sciences, geosciences or a related quantitative field.
At least 3 years of relevant experience in climate science, environmental modelling or sustainability analytics.
Strong programming skills (Python is preferred) are a must.
Experience in geospatial data analysis (with GeoPandas/xarray and/or ArcGIS).
Solid grounding in climate science and environmental modelling.
A solid foundation of data science and Generative AI is a plus.
Experience working in cloud environments, preferably Azure (Databricks, DevOps) and version control (Git) is a plus.
Knowledge or experience of working in climate change and sustainability would be an asset
Ability to communicate research results effectively by translating complex information to clients and stakeholders and strong interpersonal skills to build and maintain relationships within and outside RaboResearch to capture and translate requests from internal stakeholders to research questions
Fluent in English, both verbally and in writing. Proficiency in Dutch is considered an advantage.
To be considered for this position you must be located in the Netherlands, re-location is not possible for this role.

This is what we offer you

Salary: Gross monthly salary between EUR 4,931 and EUR 7,043 (scale 09) for a 36-hour work week.
Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
Development budget: EUR 1,400 development budget per year for your growth and development.
Hybrid working: a balance between home and office work (possible for most roles).
Pension: decide for yourself the amount of your personal contribution.