ING Hubs Poland

ING Hubs Poland

Expert Data Science Model Validator

Offer parameters
hybrid work
Warszawa, Masovian (Poland)
Zajęcza 4

Technologies we use





About the project

The Data Science Model Validation (DSMV) is responsible for validating data science and other non-regulatory models used by ING worldwide. By bringing in our expertise we assure that models are appropriate for intended use, compliant with internal policies and external regulations and its limitations are well understood by the organization.
Our goal is to ensure a strong model validation and model lifecycle landscape within ING. The Risk Hub MRO Chapter supports/guides global and local model communities in execution of the model life cycle activities,
We are looking for a colleague with a talent for taking it on and making it happen, enthusiastic for helping others to be successful and knack for always being a step ahead. You strive to bring fresh ideas to life and embrace challenges in a fast changing and complex environment.

Your responsibilities

  • Technical review of the models assessing the conceptual soundness and developmental evidence of a model
  • Writing detailed validation reports, including a model risk assessment and a description of the validation findings
  • Interact with stakeholders including model developers, senior management, ECB and other regulators, and internal & external audit
  • Keep track of new developments in data science and applicable regulation
  • Contribute to the continuous improvement of methodologies, standards and automation
  • Providing guidance to fellow team members around data science model validation
  • Review of compliance with regulations and internal policies by performing quantitative analyses and independent testing

Our requirements

  • A PhD or MSc degree in Mathematics, Physics, Econometrics, Quantitative Finance, Data Science or related field,
  • At least 8 years of experience in model development, validation or model risk management,
  • A passion for data science as applied in the banking sector,
  • A thorough understanding of the machine learning algorithms and tooling and are able to pass your knowledge to others,
  • Knowledge how to build and validate multiple Machine Learning methods: Classification, Regression, Clustering, Unsupervised methods, Text Mining,
  • An excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc,
  • Experience in Python, R, Scala, SAS or other data science tools and platforms.


  • Experience with the Agile way of working,
  • Knowledge in Parametric and non-parametric statistics,
  • Knowledge in data processing Tools: Spark, Hadoop, Oracle, SQL,
  • Enthusiasm and flexibility,
  • Transparency, open-minded attitude and value diversity and inclusion.

This is how we organize our work

This is how we work



  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • integration events
  • corporate gym
  • video games at work
  • parking space for employees
  • leisure zone

This is how we work

I apply to:
ING Hubs Poland
ING Hubs Poland
Warszawa, Masovian (Poland)
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