Risk Data Scientist

Join us as a Risk Data Scientist

In this key role, you’ll undertake the validation of derivative pricing models and ensure that models are managed within the requirements of the bank’s model risk policy and risk appetite

You’ll ensure model limitations are identified, communicated to stakeholders and effectively mitigated

We’ll look to you to help develop, maintain and implement proportionate mandatory procedures for model validation activity

You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with colleagues across Risk and NatWest Markets

What you'll do

As a Risk Data Scientist your main role will be the validation and review of models used within NatWest Markets to help ensure the bank’s models are managed within policy and appetite. By conducting thorough quantitative analysis, you’ll assess their performance and robustness.

You’ll prepare comprehensive validation reports and documentation, supporting the delivery of bank wide policy and mandatory procedures for the governance and control of model risk, through effective tracking and proactive escalation of issues and compliance with the operational risk framework.

You’ll also be:

Managing a small team of validators providing oversight to their validation activity and support their development

Working with the team to design and roll-out a bank-wide risk appetite approved by the bank’s executive and cascaded to businesses, functions and legal entities

Assisting all areas in having appropriate governance and minimum standards in place to enable each area to report and manage their model risk and remain within their executive’s risk appetite

Working to effectively and proactively support model risk with the management and remediation of its internal and external audit issues

The skills you'll need

We’re looking for significant experience of model validation or development of xVA models and front office pricing models e.g. currencies, rates. You’ll need a strong understanding of the financial industry and regulatory requirements.

You’ll have project management experience with a demonstrated ability to establish a clear direction and set and track objectives. Crucial to your success in this role will be problem solving, analytical skills, develop effective relationships and your ability to communicate with and influence senior management.

You’ll also have:

Extensive model development or validation experience in a markets business

An advanced degree such as a Master's or PhD in Quantitative Finance, Mathematics, Statistics, or a related field

The ability to code in Python or a proven record of coding in other languages

Knowledge of key model risk regulation such as SS1/23

Financial acumen and the ability to understand model risk in the context of derivative pricing models

Experience writing and proof-reading papers of sufficient quality to be submitted to senior management regulators and auditors

The ability to work closely with senior team members to deliver outcomes consistent with industry leading practices