# ESG Physical Risk Model Developer at ING

ING is hiring an ESG Physical Risk Model Developer in Milan, Italy. Level rates it Little AI ●○○○; you can [apply on ING](https://jobsbylevel.com/go/209a088c-a605-4658-ac4a-648b3938289b?utm_medium=ai-agent).

AI Level 1, AI centrality 0 out of 100. MILAN.

## Details

- Company: [ING](https://jobsbylevel.com/companies/ing)
- AI level: AI Level 1 (score 0 out of 100)
- Location: MILAN
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/209a088c-a605-4658-ac4a-648b3938289b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=esg-physical-risk-model-developer-at-ing-053fe4

## Prepare for this job

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## Description

Do you want to shape how ESG risks are quantified within a global bank? In this role, you’ll work at the intersection of climate, data and financial risk and join the ESG Risk Modelling team in Milan; building models that help ING better understand and manage the impact of environmental and social change. From developing new methodologies to improving existing tools, your work will directly influence how we assess risk and support more sustainable decision-making. The role offers the opportunity to work across the full model lifecycle , from methodology definition and data analysis to model development, validation, regulatory interaction and implementation. You will be part of an international environment, working closely with ING's model development teams in Amsterdam and collaborating with stakeholders across Risk Management, Front Office, Model Risk Management and other functions 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 model development to translate ESG developments into actionable risk insights. Following recent growth, the 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 In this role, you will contribute to both building new capabilities and improving existing ESG risk models: Developing and enhancing methodologies for ESG risk assessment, including Double Materiality Assessment. This includes the full tool development lifecycle , including methodology definition and implementation, data collection and analysis, development, calibration, documentation, monitoring and production implementation. Perform portfolio-level and counterparty-level analyses to support the ongoing use of models and ad hoc initiatives requiring in-depth understanding of methodologies, assumptions and model limitations. Contributing to scenario analysis and stress testing to quantify ESG risks. Using and applying internal tools, including models assessing physical climate risks (e.g. exposure to natural hazards based on geospatial data) and tools translating ESG risk into a financial impact for ING’s corporate counterparties. Translating complex ESG and climate data into meaningful risk insights and model outputs, c ommunicating modelling approaches, results, assumptions and limitations clearly to both technical and non-technical stakeholders, including senior management . Coordinate and collaborate with relevant stakeholders across risk, sustainability and business teams. Support initiatives arising from regulatory and supervisory requirements , as well as internal and external audit activities. 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. Education & experience : bringing a university degree in a quantitative field such as finance, economics, engineering or natural sciences, combined with relevant experience (typically 2+ years) in financial risk, model development or a related domain. Strategic thinking & implementation : developing and evolving ESG risk models and methodologies and translating complex data into robust approaches for risk assessment and integration into frameworks such as business strategy. Risk expertise : understanding ESG risk drivers, their transmission into different financial risk types, and applying this knowledge in developing models

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