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NatWest Markets
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Model Risk Validation Officer, VP

Model Risk Validation Officer, VP

NatWest Markets

12 - 20 years

40 - 50 Lacs

Gurugram Bengaluru

Posted:8 hours ago| Platform:

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Skills Required

Computer science Trade Senior management Compliance Senior Executive Analytical Machine learning Risk management Proof reading Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Join us as a Model Risk Validation Officer

This 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
Its 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
Were offering this role at vice president level

What youll do

As a Model Risk Validation Officer, you will provide oversight of the organisations data-driven models through data analytics and model reviews.

By conducting thorough quantitative analysis, you ll assess their performance and robustness.Youll 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 youll 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

Knowledge 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

Hours

Job Posting Closing Date:

15/07/2025

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Model Risk Validation Officer, VP