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Senior Model Developer

Pubblicato il 03-10-2026 - Ing in Corsico

Questa posizione è in INGIl processo di selezione sarà interamente gestito ING.--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 ModelsESG Risk ModelsRisk Strategy and OversightWe 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 developmentis fully integrated with the Group model development teams based in Amsterdam.Key responsibilitiesSupport the full model development lifecycle: methodology definition/application, data collection and analysis, development, calibration, documentation, and monitoringContribute to initiatives required by supervisory authorities or internal/external auditorsCoordinate and collaborate on testing, validation,



and production release activitiesCollaborate with front office, Risk Management, Model Risk Management, and auditors throughout the model lifecyclePerform portfolio and deep-dive analyses to support both business-as-usual model usage and ad-hoc initiatives requiring advanced model expertiseWho we are looking forAt least 4 years of experience in credit risk model development (AIRB, IFRS9) or ESGMaster’s degree or PhD, preferably in Econometrics, Physics, Statistics, Mathematics, or EngineeringStrong knowledge of regulatory models (Basel framework) and IFRS9, with experience in developing expert-based or statistical credit risk modelsAdditionally 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 valuedExtensive experience with data modelling and coding tools (Python, R, SAS) and familiarity with GenAI toolsStrong communication skills, including the ability to interact with Senior ManagementExcellent analytical and problem-solving capabilities, with strong execution skillsCreative and innovative mindsetTeam playerFluent in English--

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