[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-risk-ai-data-scientist-ing-bank-personeel-bv-de-global":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":12,"featured_until":7,"is_active":13,"deactivated_at":7,"is_enriched":13,"processed_job_posting_json":14,"processed_latitude":82,"processed_longitude":83,"processed_employment_types":84,"processed_working_hours":85,"processed_working_hours_labels":87,"processed_home_office":88,"processed_salary_min":79,"processed_salary_max":80,"processed_salary_currency":76,"processed_salary_source":89,"processed_benefits":90,"processed_benefits_labels":98,"processed_industry":99,"processed_skills":7,"processed_job_location":100,"processed_full_address_gmaps":102,"processed_street_gmaps":104,"processed_city_gmaps":105,"processed_postal_code_gmaps":106,"processed_country_gmaps":107,"processed_country_iso_code_gmaps":109,"full_description":17,"formatted_description":110,"processed_employment_types_labels":35,"processed_home_office_labels":33,"processed_industry_labels":37,"processed_it_skills":111,"processed_it_skills_labels":114,"processed_soft_skills":115,"processed_soft_skills_labels":116,"processed_job_expertise_skills":117,"processed_job_expertise_skills_labels":118,"processed_language_requirements":119,"processed_total_experience_years":126,"processed_professional_field":127,"processed_professional_field_labels":130,"processed_leadership_role":12,"processed_date_posted":20,"raw_job_url":131,"apply_url":7,"raw_hiringOrganization_logo_url":7,"translations":7,"canonical_industry_key":99,"canonical_industry_label":37,"max_cpc":132,"actual_cpc":7},84221,"risk-ai-data-scientist-ing-bank-personeel-bv","Risk AI Data Scientist",null,{"name":9,"slug":10,"logo_url":11},"ING Bank Personeel BV","ing-bank-personeel-bv","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",false,true,{"@context":15,"@type":16,"title":6,"description":17,"hiringOrganization":18,"datePosted":20,"validThrough":21,"jobLocation":22,"jobLocationType":33,"employmentType":34,"industry":36,"skills":38,"baseSalary":74},"https:\u002F\u002Fschema.org\u002F","JobPosting","We are looking for a Risk AI Data Scientist to drive the integration of advanced AI capabilities into the bank’s overall risk management (out of which Credit risk model maintenance is one of them). In this role, you operate in the intersection of risk management practices (amongst which credit risk modelling), model lifecycle governance, and advanced AI (LLMs, NLP, Agentic workflows). You will not only build and steer these solutions; you will help design the cognitive layer of the bank’s risk management environment, turning cutting-edge AI into production-ready, compliant solutions. The team The mission of Integrated Risk is focused on providing risk identification, aggregation and insight capabilities at Group level across the various Risk domains. The team department is using those capabilities across the various risk functions, to assume a general oversight of risk governance, policies and frameworks, and to steer group-wide model and implementation activities across locations. The Bank-wide Credit Risk Models department is responsible for the management of Wholesale Banking (WB) IRB and IFRS9 and the Bank-wide Credit Risk Economic Capital models — including their development, monitoring, and advisory support to the business — in cooperation with relevant stakeholders. All the models in scope are groupwide, managed and developed centrally and consistently applied across all ING’s locations. Roles and responsibilities What will you do? Develop custom models by fine-tuning open-weights models (e.g., Llama, Mistral) on GCP GPUs to understand the specific nuances of risk management in wholesale\u002Fretail banking, credit policies, and financial risk (exploration, production and scaling). Evaluate and monitor GenAI systems in this context (e.g. hallucinations, quality, drifting). Architect Retrieval-Augmented Generation (RAG) systems to enable interaction with internal policy documents, regulations and other documentation in different formats with high precision. Work with large-scale unstructured data (documents, PDFs, OCR) as a core part of the role. Design and implement agentic AI workflows (e.g. LangChain\u002FLangGraph) where AI components plan, reason, and execute multi-step tasks to support risk managers. Build NLP pipelines to extract complex signals (e.g. transaction patterns, legal clauses) from unstructured text and convert them into usable features. Write clean, modular Python code in Azure DevOps ensuring models are testable, reproducible, and ready for deployment. Align with model suites across different risk domains to understand and create added value in AI-powered lifecycle management. How to succeed We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself. Education & experience Master’s degree in mathematics, economics or equivalent 7+ year experience in risk management (experience with risk modelling is a plus) Core technical stack Advanced Python, SQL, PyTorch\u002FTensorFlow (SAS is an advantage) GenAI & data capabilities HuggingFace (Transformers, PEFT), LangChain\u002FLlamaIndex, Vector Stores (FAISS\u002FVertex Search), designing and optimising RAG pipelines Experience in manipulating and governing structured and unstructured data for risk management purposes Platforms & engineering Google Cloud Platform (Vertex AI, Workbench) Strong experience with Azure DevOps (Git, Pipelines) Experience with end-to-end pipelines (data → model → deployment) Way of working Experience working in Agile\u002FScrum teams You understand the “You Build It, You Run It” philosophy Governance & mindset Knowledgeable on AI (risk) governance Out-of-the-box, inquisitive, strategic thinking Strong risk management mindset and technically fully mature credit risk modelling skills Strong communication skills (internally and externally), with the capability of translating complex matters into simple language “Make it happen” mentality Rewards and benefits We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions. The benefits of working with us at ING include: 25-28 vacation days depending on contract Pension scheme 13th month salary 8% Holiday payment Hybrid working Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues About us Curious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you. Questions? Please visit our Frequently Asked Questions section to find some answers on questions you might have. You can also contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button. Die ING ist eine globale Bank mit über 60.000 Mitarbeitenden. Wir sind für rund 38 Millionen Privat-Kundinnen und Kunden sowie für unsere Geschäfts- und Firmenkunden in über 40 Ländern da. Wir sind bunt, vielfältig, digital und stolz darauf. Lust uns kennenzulernen? Dich erwartet eine Kultur auf Augenhöhe, flexible Arbeitsweisen und die Chance, mit einem Job wirklich etwas zu verändern. Denn als globale Bank berühren wir das Leben von Millionen Menschen und wir streben danach einen positiven Einfluss auf die Gesellschaft und auf unseren Planeten zu haben. Selbstbestimmtes Arbeiten ist unser täglich Brot: Wir vertrauen unseren Mitarbeitenden und ermutigen sie, ihr Ding zu machen – also ihre Karriere so zu gestalten, wie es für sie am besten ist. Wir sind mehr als ein Arbeitgeber – wir sind innovativ, lösen Probleme, sind immer einen Schritt voraus und setzen uns dafür ein, einen echten Unterschied zu machen. Egal, ob Du gerade Deine Karriere startest oder die nächste große Herausforderung suchst, wir haben viele Jobmöglichkeiten, die Dich inspirieren und über Dich hinauswachsen lassen. Deine Zukunft bei der ING beginnt mit einer Bewerbung. Bist du bereit, Teil der ING zu werden? Wir haben viele Jobmöglichkeiten, die zu Deinen Fähigkeiten und Ambitionen passen! Verwende die Filter unter der Suchleiste, wie Standort und Jobtyp, um die perfekte Stelle zu finden. Starte jetzt mit der Suche und finde heraus, wohin Dich Dein nächster Karriereschritt führen könnte!",{"@type":19,"name":9},"Organization","2026-09-25","2027-09-25",[23],{"@type":24,"address":25,"geo":29},"Place",{"@type":26,"addressLocality":27,"addressCountry":28},"PostalAddress","Amsterdam","NL",{"@type":30,"latitude":31,"longitude":32},"GeoCoordinates",52.3675734,4.9041389,"HYBRID",[35],"PERMANENT",[37],"Banking",[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73],"Python","SQL","PyTorch","TensorFlow","SAS","HuggingFace Transformers","HuggingFace PEFT","LangChain","LlamaIndex","FAISS","Vertex Search","Google Cloud Platform","Vertex AI","Workbench","Azure DevOps","Git","Pipelines","Communication","Strategic Thinking","Inquisitive","Out-of-the-box Thinking","Make it happen mentality","Curiosity","Responsibility","Risk Management","Credit Risk Modelling","Model Lifecycle Governance","AI Governance","RAG Pipelines","Agentic AI Workflows","NLP Pipelines","Unstructured Data Handling","Structured Data Governance","End-to-end Pipelines","Agile\u002FScrum",{"@type":75,"currency":76,"value":77},"MonetaryAmount","EUR",{"@type":78,"minValue":79,"maxValue":80,"unitText":81},"QuantitativeValue",80000,120000,"YEAR",[31],[32],"permanent",[86],"FULL_TIME",[86],"hybrid","estimated",[91,92,93,94,95,96,97],"25-28 vacation days depending on contract","Pension scheme","13th month salary","8% Holiday payment","Hybrid working","Personal growth and challenging work with endless possibilities","An informal working environment with innovative colleagues",[91,92,93,94,95,96,97],"banking",[101],"ing, cdr (amsterdam - cedar), niederlande",[103],"Amsterdam, Niederlande",[],[27],[],[108],"Niederlande",[28],"We are looking for a Risk AI Data Scientist to drive the integration of advanced AI capabilities into the bank’s overall risk management (out of which Credit risk model maintenance is one of them). In this role, you operate in the intersection of risk management practices (amongst which credit risk modelling), model lifecycle governance, and advanced AI (LLMs, NLP, Agentic workflows). You will not only build and steer these solutions; you will help design the cognitive layer of the bank’s risk management environment, turning cutting-edge AI into production-ready, compliant solutions.\n\n## The team\n\nThe mission of Integrated Risk is focused on providing risk identification, aggregation and insight capabilities at Group level across the various Risk domains. The team department is using those capabilities across the various risk functions, to assume a general oversight of risk governance, policies and frameworks, and to steer group-wide model and implementation activities across locations. The Bank-wide Credit Risk Models department is responsible for the management of Wholesale Banking (WB) IRB and IFRS9 and the Bank-wide Credit Risk Economic Capital models — including their development, monitoring, and advisory support to the business — in cooperation with relevant stakeholders. All the models in scope are groupwide, managed and developed centrally and consistently applied across all ING’s locations.\n\n## Roles and responsibilities\n\nWhat will you do?\n\n- Develop custom models by fine-tuning open-weights models (e.g., Llama, Mistral) on GCP GPUs to understand the specific nuances of risk management in wholesale\u002Fretail banking, credit policies, and financial risk (exploration, production and scaling).\n- Evaluate and monitor GenAI systems in this context (e.g. hallucinations, quality, drifting).\n- Architect Retrieval-Augmented Generation (RAG) systems to enable interaction with internal policy documents, regulations and other documentation in different formats with high precision.\n- Work with large-scale unstructured data (documents, PDFs, OCR) as a core part of the role.\n- Design and implement agentic AI workflows (e.g. LangChain\u002FLangGraph) where AI components plan, reason, and execute multi-step tasks to support risk managers.\n- Build NLP pipelines to extract complex signals (e.g. transaction patterns, legal clauses) from unstructured text and convert them into usable features.\n- Write clean, modular Python code in Azure DevOps ensuring models are testable, reproducible, and ready for deployment.\n- Align with model suites across different risk domains to understand and create added value in AI-powered lifecycle management.\n\n## How to succeed\n\nWe hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.\n\n## Education & experience\n\n- Master’s degree in mathematics, economics or equivalent\n- 7+ year experience in risk management (experience with risk modelling is a plus)\n\n## Core technical stack\n\n- Advanced Python, SQL, PyTorch\u002FTensorFlow (SAS is an advantage)\n\n## GenAI & data capabilities\n\n- HuggingFace (Transformers, PEFT), LangChain\u002FLlamaIndex, Vector Stores (FAISS\u002FVertex Search), designing and optimising RAG pipelines\n- Experience in manipulating and governing structured and unstructured data for risk management purposes\n\n## Platforms & engineering\n\n- Google Cloud Platform (Vertex AI, Workbench)\n- Strong experience with Azure DevOps (Git, Pipelines)\n- Experience with end-to-end pipelines (data → model → deployment)\n\n## Way of working\n\n- Experience working in Agile\u002FScrum teams\n- You understand the “You Build It, You Run It” philosophy\n\n## Governance & mindset\n\n- Knowledgeable on AI (risk) governance\n- Out-of-the-box, inquisitive, strategic thinking\n- Strong risk management mindset and technically fully mature credit risk modelling skills\n- Strong communication skills (internally and externally), with the capability of translating complex matters into simple language\n- “Make it happen” mentality\n\n## Rewards and benefits\n\nWe want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.\n\nThe benefits of working with us at ING include:\n\n- 25-28 vacation days depending on contract\n- Pension scheme\n- 13th month salary\n- 8% Holiday payment\n- Hybrid working\n- Personal growth and challenging work with endless possibilities\n- An informal working environment with innovative colleagues\n\n## About us\n\nCurious about how ING empowers people and businesses to move forward? Discover what we do and what we can offer you.\n\n## Questions?\n\nPlease visit our Frequently Asked Questions section to find some answers on questions you might have. You can also contact the recruiter attached to the advertisement.\n\nWant to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.\n\nDie ING ist eine globale Bank mit über 60.000 Mitarbeitenden. Wir sind für rund 38 Millionen Privat-Kundinnen und Kunden sowie für unsere Geschäfts- und Firmenkunden in über 40 Ländern da. Wir sind bunt, vielfältig, digital und stolz darauf. Lust uns kennenzulernen? Dich erwartet eine Kultur auf Augenhöhe, flexible Arbeitsweisen und die Chance, mit einem Job wirklich etwas zu verändern. Denn als globale Bank berühren wir das Leben von Millionen Menschen und wir streben danach einen positiven Einfluss auf die Gesellschaft und auf unseren Planeten zu haben. Selbstbestimmtes Arbeiten ist unser täglich Brot: Wir vertrauen unseren Mitarbeitenden und ermutigen sie, ihr Ding zu machen – also ihre Karriere so zu gestalten, wie es für sie am besten ist. Wir sind mehr als ein Arbeitgeber – wir sind innovativ, lösen Probleme, sind immer einen Schritt voraus und setzen uns dafür ein, einen echten Unterschied zu machen. Egal, ob Du gerade Deine Karriere startest oder die nächste große Herausforderung suchst, wir haben viele Jobmöglichkeiten, die Dich inspirieren und über Dich hinauswachsen lassen. Deine Zukunft bei der ING beginnt mit einer Bewerbung. Bist du bereit, Teil der ING zu werden? Wir haben viele Jobmöglichkeiten, die zu Deinen Fähigkeiten und Ambitionen passen! Verwende die Filter unter der Suchleiste, wie Standort und Jobtyp, um die perfekte Stelle zu finden. Starte jetzt mit der Suche und finde heraus, wohin Dich Dein nächster Karriereschritt führen könnte!",{"git":112,"sas":113,"sql":112,"faiss":112,"python":112,"pytorch":112,"langchain":112,"pipelines":112,"vertex ai":112,"workbench":112,"llamaindex":112,"tensorflow":112,"azure devops":112,"vertex search":112,"huggingface peft":112,"google cloud platform":112,"huggingface transformers":112},4,2,[39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55],{"communication":112,"strategic thinking":112,"inquisitive":112,"out-of-the-box thinking":112,"make it happen mentality":112,"curiosity":112,"responsibility":112},[56,57,58,59,60,61,62],{"agile\u002Fscrum":112,"ai governance":112,"nlp pipelines":112,"rag pipelines":112,"risk management":112,"agentic ai workflows":112,"end-to-end pipelines":112,"credit risk modelling":112,"model lifecycle governance":112,"structured data governance":112,"unstructured data handling":112},[63,64,65,66,67,68,69,70,71,72,73],{"detected_language_jobad":120,"required":121},"en",[122],[123],{"language":124,"level":125},"ENGLISH","C1",7,[128,129],"Information and Communications Technology Professionals","Business and Administration Professionals",[128,129],"https:\u002F\u002Fing.wd3.myworkdayjobs.com\u002Fde-de\u002Ficsgblcor\u002Fjob\u002Fcdr-amsterdam---cedar\u002Frisk-ai-data-scientist_req-10117544-2",1]