Overview
Join ING's ESG Risk Modelling team in Milan to quantify environmental and social risk within a global bank. You will work across the full model lifecycle, from methodology and data analysis to development, validation, and implementation. Collaborate with international teams to translate ESG developments into actionable risk insights that inform sustainable decision-making. This role offers hands-on modelling, scenario analysis, and regulatory interaction in a dynamic, cross-functional environment. You will help shape how ESG risk is assessed and embedded in risk frameworks.
Retribuzione / Benefits
Flexible Lavoro da remoto
Competitive base salaries
Meal vouchers
Health insurance
Pension fund
International environment
Responsabilità
Develop and enhance methodologies for ESG risk assessment, including Double Materiality, across the full tool development lifecycle
Conduct portfolio- and counterparty-level analyses to support model use and ad hoc initiatives
Contribute to scenario analysis and stress testing to quantify ESG risks
Apply internal tools for physical climate risk and translating ESG risk into financial impact




Translate complex ESG data into clear risk insights and communicate results to technical and non-technical stakeholders
Coordinate with risk, sustainability and business stakeholders to align methodologies
Support regulatory, supervisory, and audit-related initiatives
Engage in data collection, analysis, calibration, documentation, monitoring, and production implementation
Requisiti fondamentali
University degree in a quantitative field and 2+ years of relevant experience in financial risk or model development
Strategic thinking to evolve ESG risk models and integrate data into business strategy
Knowledge of ESG risk drivers and application to stress testing and scenario analysis
Strong quantitative modelling skills and programming ability (Python, SAS or similar)
Climate & ESG knowledge with ability to rapidly develop expertise for risk modelling
Experience with large, complex datasets and advanced data analysis
Stakeholder management and ability to communicate complex concepts to senior management
Fluent English, written and spoken
Collaborative mindset
Strong communication skills
Problem solving and intellectual curiosity
Python
SAS
Quantitative modelling

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