Model Risk Data Scientist

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

Job summary

A leading financial institution in London is seeking a Model Risk Data Scientist to join their dynamic Risk team. The role involves reviewing and validating machine learning models, developing automation solutions, and communicating findings. The ideal candidate will have expertise in Python, AI model validation, and strong analytical skills. This position offers a unique opportunity to contribute to a data-driven environment and enhance the bank’s model risk management practices.

Qualifications

• Excellent grasp of mathematical methods and assumptions underpinning machine learning.
• Proficiency in Python for data science projects.
• Experience in building and validating AI models, especially LLMs.

Responsibilities

• Review and validate assigned models according to bank’s policies.
• Develop solutions for automating validation activities.
• Communicate findings and recommendations to stakeholders.

Skills

Mathematical methods and concepts

Proficiency in Python

Experience with Linux WSL

Familiarity with AWS Sagemaker

Excellent technical skills

Strong communication skills

Job description

Overview

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