Physical Risk Developer

As a Model Developer for our Physical Risk Solutions, you will contribute to the development of models and tools that help ING understand and quantify physical climate and environmental risks. Working within ESG Risk Analytics, you will help translate scientific and technical methodologies into practical solutions that support business and risk decision-making.

The team
You will join the ESG Risk Analytics team, part of Integrated Risk, focusing on the quantification and identification of ESG risks across ING. The team works on areas such as scenario analysis, stress testing and location-based physical risk model development, translating ESG developments into actionable risk insights.

Following recent growth, the ESG Risk department has evolved into two specialised sub-teams: one focused on frameworks and governance, and one focused on analytics. This role sits in the analytics team, where the focus is on hands-on modelling, building tools and advancing ESG risk methodologies.

You will work in a collaborative, international environment where curiosity and knowledge-sharing are key, and where ESG is still evolving, giving you room to shape how things are done.

Roles and responsibilities
As a Model Developer for our Physical Risk Solutions, you will:

• Contribute to the development, testing, and maintenance of models used in our physical risk solutions.

• Support the translation of scientific and technical methodologies into practical model outputs for business and risk teams.

• Work together with developers, data specialists, and DevOps teams to help ensure reliable and scalable implementation.

• Help improve the solution over time based on feedback, data developments, model insights, and emerging climate science.

• Contribute to documentation, validation materials, and model change processes.

• Support the integration of physical risk outputs into broader systems, processes, and reporting.

• Collaborate with colleagues across the organisation to help build understanding of physical climate and environmental risks.

How to succeed
We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

• Experience or a strong academic background in model development, data science, quantitative analysis, software engineering, or a related field.

• Experience working with Python for data processing, analytics, or model development.

• Experience working with geospatial data; familiarity with tools such as GeoPandas, xarray, rasterio, or similar libraries is a plus.

• Experience with Git is a plus, and previous exposure to Azure DevOps is an advantage.

• Previous experience working with climate, hazard, or environmental geospatial datasets is a strong plus, and familiarity with tools such as zarr is an advantage.

• Interest in physical climate risks such as flooding, heatwaves, or wildfire, and environmental topics such as biodiversity or water stress.

• Strong analytical skills, a structured way of working, and the ability to explain technical topics clearly.

• A proactive mindset, willingness to learn from others, and motivation to build solutions with real-world impact.

Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.

The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Hybrid working

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us
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Questions
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