Milano, Lombardia, Italia
Onsite
ING is looking for professionals with at least 4 years of experience to join the Bank-wide Credit Risk, ESG Risk development teams, or the Risk Strategy and Oversight group.
We are hiring resources to be based in Milan within the following departments:
Bankwide Credit Risk Models
ESG Risk Models
Risk Strategy and Oversight
We are seeking experienced professionals with a strong passion for developing credit risk models (Pillar I and Pillar II), ESG risk models, and stress testing, as well as defining development and monitoring methodologies for models.
Alternatively, candidates may have significant experience in interacting with supervisory authorities (e.g. participation in TRIM missions, Internal Model Investigations, or other ECB interactions) or working with internal and external auditors.
The models we develop are key to ING’s Corporate Lending activities; model development is fully integrated with the Group model development teams based in Amsterdam.
Support the full model development lifecycle: methodology definition/application, data collection and analysis, development, calibration, documentation, and monitoring
Contribute to initiatives required by supervisory authorities or internal/external auditors
Coordinate and collaborate on testing, validation, and production release activities
Collaborate with front office, Risk Management, Model Risk Management, and auditors throughout the model lifecycle
Perform portfolio and deep-dive analyses to support both business-as-usual model usage and ad-hoc initiatives requiring advanced model expertise
At least 4 years of experience in credit risk model development (AIRB, IFRS9) or ESG
Master’s degree or PhD, preferably in Econometrics, Physics, Statistics, Mathematics, or Engineering
Strong knowledge of regulatory models (Basel framework) and IFRS9, with experience in developing expert-based or statistical credit risk models
Additionally or alternatively, knowledge of ESG modeling topics (e.g. Double Materiality Assessment, ESG risk factors, ESG data)
Strong understanding of regulatory frameworks (ECB, EBA); experience with supervisory authorities, ideally the European Central Bank, is highly valued
Extensive experience with data modelling and coding tools (Python, R, SAS) and familiarity with GenAI tools
Strong communication skills, including the ability to interact with Senior Management
Excellent analytical and problem-solving capabilities, with strong execution skills
Creative and innovative mindset
Team player
Fluent in English
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