Cross Model Analytics Model Developer

INGGroot-RijnmondEURESpublished 10/15/2026
Must-have:PythonCI/CDAISenior

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.

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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.

Key Responsibilities

  • 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...

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