Quantitative Analyst VP

7 days ago

London, United Kingdom NatWest Group Full time

Join us as a Quantitative Analyst

  • This is an opportunity to join our Quantitative Desk Analytics team who provide desk-aligned quantitative expertise across Trading, CMU (Capital Management Unit) and Capital Markets; performing analysis, building models and delivering front-end tools
  • You’ll have the chance to solve complex analytical problems and join the team focused on Credit and XVA – providing models and tools to better analyse and manage these products.
  • You’ll enjoy lots of collaboration in this role, as you work closely with colleagues in the wider quantitative analytics group and across the bank and IT departments
What you'll do

As a Quantitative Analyst, you’ll deliver software solutions to internal clients and systems by designing, developing and maintaining pricing and risk models to support trading and risk management areas.

We’ll also expect you to support the business to promote client focus throughout strategy, communications and client engagement.

Day to day, you’ll be:

  • Working within our python-based platform (SoDA)
  • Working closely with stakeholders to develop analytics and associated tools via the SoDA framework – delivering through an appropriate platform, for example, jupyter, dash etc
  • Contributing to the core C++ analytics as appropriate
  • Ensuring that analytics are developed and delivered within a well-controlled and flexible environment
  • Undertaking investigations in a logical and planned manner of a quantitative nature, draw conclusions and present their work to peers and supervisors for assessment and feedback
  • Participating in testing of implementations and back testing of effectiveness of our models on historical data as required
The skills you'll need:

To join us in this role, you’ll hold a Master’s or Doctoral degree in science, technology, engineering or mathematics, coupled with experience of working in a quant or quant development role. In addition, we’ll be looking for excellent problem solving, computing and analytical skills.

Ideally, you’ll also bring a strong mathematical background, preferably with good knowledge in the following disciplines – probability, quantitative finance, stochastic calculus, numerical methods, multivariate statistics, econometrics, optimisation, time series analysis.

You’ll also need:

  • Excellent programming skills, specifically in Python. C++ an advantage
  • Experience with derivative pricing models across credit/xva
  • Experience with web apps
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