ESG Risk Analytics Engineer — Modeling & Scenario Leader

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

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