ESG Risk Model Developer Analytics

ING; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Vacation days

Pension scheme

13th month salary

Holiday allowance

Hybrid working

Growth opportunities

Informal working environment

Job summary

ING seeks an experienced ESG Risk Analytics professional to join the analytics team within Integrated Risk and contribute to ESG risk modelling, scenario analysis, and tool development. The role focuses on incorporating ESG drivers into financial risk frameworks like ICAAP and regulatory models, including climate risk tools and geospatial data applications.

You will collaborate across risk, sustainability and business teams, translating complex ESG data into actionable insights, while advancing

Qualifications

• University degree in a quantitative field (finance, engineering or natural sciences) with relevant experience.
• Strategic thinking and implementation: develop ESG risk models and translate complex data into robust approaches.
• Risk expertise: understand ESG risk drivers and translate into modelling and scenario analysis.
• Quantitative modelling: strong modelling skills and programming to build and improve ESG and financial risk models.
• Climate & ESG knowledge: knowledge of climate, nature and ESG developments and apply to risk modelling.
• Advanced data application: work with complex datasets, including geospatial data, for physical climate risk assessment.
• Stakeholder management: balance input from risk, business and sustainability functions.
• Communication & collaboration: translate concepts into clear methodologies and insights.

Responsibilities

• Develop and enhance methodologies for ESG risk assessment and scenario analysis.
• Build and maintain ESG-related models integrating ESG drivers into ICAAP and regulatory models (IRB/IFRS9).
• Perform and improve scenario analysis and stress testing to quantify ESG risks.
• Develop internal tools for physical climate risk assessment and translating ESG risk into financial impact for ING’s counterparties.
• Translate complex ESG data into meaningful risk outputs and insights.
• Collaborate with risk, sustainability and business stakeholders to align on requirements and impact.

Skills

Python

SAS

Quantitative modelling

Geospatial data

Education

University degree in quantitative field

Tools

Geospatial data tools

Job description

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.
• Building and maintaining ESG-related models, with a focus on integrating ESG drivers into financial risk frameworks such as ICAAP and regulatory models (IRB/IFRS9).
• Performing and improving scenario analysis and stress testing to quantify ESG risks.
• Contributing to the development of 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.
• Collaborating with stakeholders across risk, sustainability and business teams to align on requirements and ensure impact.

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 6+ 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 ICAAP and capital planning.
• Risk expertise : understanding ESG risk drivers, their transmission into different financial risk types, and applying this knowledge in developing models and scenario analysis (e.g. stress testing, climate scenarios).
• Quantitative modelling : applying strong modelling skills and programming (e.g. Python, SAS or similar) to build, maintain and improve ESG and financial risk models.
• Climate & ESG knowledge : bringing knowledge of climate, nature and ESG developments, or demonstrating the curiosity and ability to quickly build this expertise and apply it to financial risk modelling.
• Advanced data application : working with complex datasets, ideally including geospatial data, to assess physical climate risks and enhance modelling capabilities.
• Stakeholder management : balancing input from different stakeholders across risk, business and sustainability functions, and aligning modelling approaches with regulatory and strategic objectives.
• Communication & collaboration : translating complex ESG and risk concepts into clear methodologies and insights and working effectively in cross-functional teams.

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.

• 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

Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.

Questions?

Please visit our Frequently Asked Questions section to find some answers on questions you might have.

We aim to provide you with an update in the week of 29th of June.