Model Risk Data Scientist

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

Job summary

A leading banking institution in London seeks a Model Risk Data Scientist to validate models per bank standards, automate validation tasks, and support AI model development. The ideal candidate will have strong machine learning skills, Python expertise, and the ability to communicate technical findings effectively. This role is a fantastic opportunity for those looking to advance in a vibrant team focused on data-driven solutions.

Qualifications

• Proficiency in Python and data science libraries.
• Experience in building and validating AI models.
• Strong grasp of mathematical methods for machine learning.

Responsibilities

• Review and validate assigned models according to bank standards.
• Develop solutions for automating validation activities.
• Review colleagues’ analysis, code, and reports.

Skills

Machine learning validation

Python

Statistical modeling

Communication skills

Autonomous working

Tools

AWS Sagemaker

Linux WSL

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