ESG Physical Risk Model Developer
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
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