Model Validation Data Scientist

NatWest Group

The NatWest Group is looking for a Model Risk Data Scientist to play a vital role in understanding and improving data-driven models that are crucial for critical business decisions. The successful candidate will join a dynamic team of data enthusiasts dedicated to exploring new algorithms, tools, and data ecosystems to gain specialist knowledge. This role offers the opportunity to develop and validate models, contributing to the organization's risk management and decision-making capabilities.

In this role you can expect to have the responsibilities:

• Validate and review the accuracy and reliability of data-driven models.
• Develop a framework for validating Gen AI models across the bank.
• Communicate findings to stakeholders and build consensus on mitigating model risks.
• Automate and enhance model validation activities.
• Collaborate with model developers to increase the value generated by data-driven modeling.
• Expand the analytics codebase with new features, bug fixes, and testing.

This role comes with the following benefits:

• Opportunity to become an expert in your field.

This role requires you to have:

• Experience with developing and validating data-driven models.
• Understanding of mathematical methods, concepts, and assumptions in machine learning, statistics, and artificial intelligence.
• Proficiency in Python and data science libraries.

You would benefit from having:

• Ability to extract insights from technical results and communicate them effectively.

This role requires creativity, perseverance, and the ability to work independently or as part of a team.