Join us as a Model Risk Validation Officer in Traded Risk Models

• This is an opportunity for a passionate and driven risk specialist to join our business
• We’ll look to you to help review and validate traded risk and pricing models supporting all business units and legal entities.
• 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 Model Risk Validation Officer, you’ll be undertaking quantitative and qualitative analysis to make sure that the model risks are adequately highlighted. We’ll look to you to review the models’ MI packs to identify model performance or data related issues, and support your team members by maintaining issue logs and MI on the review pipeline.

You’ll also be:

• Assisting in running Pillar 3 reviews by verifying the analysis and understanding the code logic
• Supporting the development of analytical tools for validation tests
• Performing quantitative analysis to assess the adequacy of modelling or data assumptions, documenting all the analysis in a succinct and clear manner
• 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
• Making sure that model risk management aligns with our model risk policy, and undertaking model risk assessments to identify potential risks

The skills you'll need

We’re looking for someone with excellent academic record, such as a postgraduate degree in a quantitative subject such as Mathematics, Physics or Quantitative Finance or otherwise similar professional qualifications.

Experience of developing, reviewing, validating or implementing Quantitative Market risk, Counterparty Credit risk and/or pricing models is an advantage. 

You’ll also need:

• Excellent attention to detail
• The ability to communicate, both verbally and in writing, to senior colleagues
• Strong programming skills and experience with Python
• Familiar with LaTeX
• Knowledge of financial products, quantitative modelling techniques
• Strong programming skills and experience with Python