Developer

ING; Rotterdam; On-site; EUR 65,000 - 90,000; Full time

Job summary

ING zoekt een ervaren Model Developer Cross Model Analytics om ontwikkelingen en onderhoud te coördineren voor WB non-IRB kredietrisicomodellen (IFRS9/Economic Capital). Je vertaalt zakelijke en regelgevende behoeften naar model lifecycle design en stuurt stakeholders aan in modelkeuzes en verbeteringen.

Je ontwikkelt en valideert analytische modellen, bouwt data pipelines en automatiseert rapportages. Je werkt aan governance, documentatie en reproduceerbaarheid met CI/CD en monitoring.

Qualifications

• HBO/bachelor diploma vereist in een relevant vakgebied.
• Minimaal 3 jaar ervaring in data science / model ontwikkeling.
• Kennis van lifecycle management en governance van modellen.
• Sterke communicatie met zowel technische als niet-technische stakeholders.

Responsibilities

• Ontwerpen, bouwen en implementeren statistische en ML-modellen voor cross-model analytics en vergelijkende evaluatie.
• Ontwikkelen van gestandaardiseerde kaders voor prestatiemetingen, benchmarking en drift-detectie.
• Implementeren van data pipelines en feature engineering.
• Uitvoeren van modelvalidatie, back-testing en documentatie voor governance.
• Samenwerken met stakeholders om businessbehoeften in modelling-doelen te vertalen.
• Automatiseren van reporting en dashboards om modelgezondheid te volgen.
• Zorg voor reproduceerbaarheid via versiebeheer, testen en deployment-praktijken.

Skills

Statistical modeling

Machine learning

Time series

Performance metrics

Communicatie

Education

HBO / bachelor

Tools

Python

R

SQL

CI/CD concepts

Monitoring/alerting

Job description

Omschrijving functie

Finance Business Support Cross Model Analytics Model Developer 13-10-2026 5.677 - 9.137 Medior, Senior Amsterdam As a Model Developer Cross Model Analytics at ING, you coordinate development and maintenance for WB non-IRB credit risk models (IFRS9/Economic Capital), translate business and regulatory needs into model lifecycle design, and steer stakeholders on model choices and improvements.

Model Developer Cross Model Analytics Role purpose: Develop, validate, and maintain analytical models across multiple model types to support cross-model insights, performance monitoring, and decision-making.

• Design, build, and deploy statistical and machine learning models for cross-model analytics and comparative evaluation.
• Develop standardized frameworks for model performance measurement, benchmarking, and drift detection across portfolios.
• Implement data pipelines and feature engineering processes to enable consistent model inputs and outputs.
• Conduct model validation, back-testing, sensitivity analysis, and documentation to meet governance and audit requirements.
• Collaborate with stakeholders to translate business needs into measurable modeling objectives and KPIs.
• Automate reporting and monitoring dashboards to track model health, stability, and impact over time.
• Ensure reproducibility through version control, testing, and robust deployment practices.

Required Skills

• Modeling: statistical modeling, machine learning, time series, and performance evaluation metrics.
• Programming: Python and/or R; SQL for data extraction and transformation.
• Data: feature engineering, data quality assessment, and scalable data processing.
• Engineering: model lifecycle management, CI/CD concepts, and monitoring/alerting.
• Communication: clear documentation and ability to explain model results to technical and non-technic...

Opleidingsniveau Hbo/bachelor

Functie Data scientist

Ervaring 36 maand(en)

Contactpersoon Marijke Fischer

Telefoonnummer [phone]

Adres Bijlmerplein 888 1102MG AMSTERDAM Nederland