Model Risk Data Scientist

NatWest Group; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial institution in the UK is seeking a Model Risk Data Scientist to validate models and support model development teams. The ideal candidate will have strong machine learning and statistical modelling knowledge, proficiency in Python, and experience in validating AI models. This role offers a chance to contribute to data-driven modelling within a vibrant team.

Qualifications

• Excellent grasp of mathematical methods and concepts supporting machine learning.
• Proficiency in Python and data science libraries.
• Experience with validating AI models, especially LLMs.

Responsibilities

• Review and validate assigned models according to bank policies.
• Develop solutions for automating validation activities.
• Support development of validation frameworks for Gen AI models.

Skills

Machine learning methods

Statistical modeling

Python

Linux WSL

AWS Sagemaker

Technical communication

Job description

Join us as a Model Risk Data Scientist

• If you have experience building and validating machine learning models, this is a fantastic opportunity join our innovative, vibrant team in our Risk function
• You’ll be performing technical reviews and oversight of models used in the bank, and working with model development teams to continually drive up the value generated by data-driven modelling

What you'll do

This Model Risk Data Scientist role will see you reviewing and independently validating assigned models in accordance with the bank’s policies and model standards. You’ll communicate your findings and recommendations to stakeholders and advise on how model risk can be reduced or mitigated.

As well as this, you’ll be developing solutions for automating validation activities while understanding model and data usage, quality and interdependencies across the bank.

Your role will also involve:

• Developing the team's analytics codebase, adding functionality, fixing issues and testing code
• Support the development of a validation framework for Gen AI models across the bank
• Reviewing your colleagues’ analysis, code and reports

The skills you'll need

We’re looking for someone with an excellent grasp of mathematical methods, concepts and assumptions that underpin machine learning, statistical modelling and artificial intelligence.

You’ll also need:

• A proficiency in Python and libraries commonly used for data science, such as Linux WSL and AWS Sagemaker
• Practical experience building and validating AI models particularly LLMs
• The ability to extract the essential ideas underlying technical results and explain them in terms of their practical consequences
• Excellent technical and communication skills
• The ability to deal with ambiguity and to work autonomously