Senior Model Validation Specialist, Markets Surveillance

2 days ago

Edinburgh, United Kingdom NatWest Full time

Join us as a Senior Model Validation Specialist in Markets Surveillance
- This is an opportunity for a passionate and driven quantitative risk specialist to join an evolving area of risk management
- We’ll look to you to review and validate various communication and trade surveillance models for NatWest Markets business
- It's an ideal role to gain detailed exposure to the developing world of model risk, as well as to a range of stakeholders and senior executives

**What you'll do**

As a Senior Model Validation Specialist, you will provide oversight of the organisation's data-driven models through data analytics and model reviews. By conducting thorough quantitative analysis, you’ll assess their performance and robustness.

You'll be undertaking analysis, ensuring that all sources of model risks are adequately highlighted as well as assessing the models’ compliance with regulations, internal policies, and standards.

Your responsibilities will also include:

- Performing sensitivity analysis to assess the adequacy of modelling or data assumptions, documenting all the analysis in a succinct and clear manner
- Undertaking in-depth assessments of the models’ subcomponents, making sure models are fit for purpose for their designated use
- Preparing checklists for various validation activity to make sure that appropriate controls are established and consistently followed
- Providing expert advice on aspects of risk management, including providing senior executives with relevant MI and reports

**The skills you'll need**:
We’re looking for you to have a quantitative degree, such as computer science, mathematics, statistics, or physics and experience of developing, reviewing, validating, and implementing analytical solutions or risk measurement tools.

You’ll need prior experience in Trade Surveillance in either a first line or second line role and know how to evaluate different machine learning models and their performance using techniques like cross-validation and performance metrics.

You’ll also have familiarity with algorithms commonly used in surveillance, such as classification algorithms including Decision Trees and SVMs.

You’ll also demonstrate:

- Proficiency in data manipulation and analysis using tools like Python
- Awareness of the regulations and compliance requirements surrounding model risk including SS 1/23 and trade surveillance
- Experience in writing and proof-reading papers of sufficient quality to be submitted to senior management, regulators and auditors

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