Senior Quantitative Analyst, Traded Risk Models

  • Job Reference: R-00159004
  • Date Posted: 11 August 2022
  • Employer: NatWest Group
  • Website:
  • Location: Warszawa
  • Salary: On Application
  • Sector: Accounting, Banking & Financial Services
  • Job Type: Full Time

Job Description

Join us as a Senior Quantitative Analyst in Traded Risk Models

  • You’ll be supporting in the review, validation and quantification of model risk for assigned risk models used within NatWest Markets
  • You’ll be focusing on market risk, including IMA VaR, RNIV, IRC, and counterparty credit risk IMM models
  • You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with relevant management, colleagues, model owners and developers and end-users

What you'll do

In this key role, you’ll be helping us to maintain and control an aggregated bank-wide model inventory and associated model risk assessments. We’ll look to you to quantify model risk, through the comparison of the operating model against alternative models. You’ll also review and validate assigned models across the bank, ensuring that they are fit for purpose.

Your responsibilities will also include:

  • Supporting the review and challenge of model use in official stress testing calculations and
  • Supporting periodic model review including model performance assessment
  • Developing, maintaining and promoting the risk appetite setting in relation to model risk
  • Performing model risk analysis to satisfy regulatory queries and requirements

The skills you'll need

We’re looking for someone with experience of model validation or model development of relevant risk models. We’ll expect you to have an understanding of risk modelling within traded market risk, non-traded market risk or counterparty credit risk. Crucial to your success in this role will be excellent problem solving and analytical skills, coupled with strong communication skills.

We’ll also expect:

  • A postgraduate degree in a quantitative subject such as mathematics, physics or quantitative finance, or similar professional qualifications
  • Hands-on programming experience in C++, Python or R
  • Hands-on in-depth skills in advanced quantitative modelling, and knowledge of the associated risk management issues in a practical business context
  • Knowledge of risk-model-related regulatory requirements
  • The ability to assist in team planning and prioritisation, including detailed planning of assigned projects within the team’s roadmap