Quantitative Desk Analyst

NatWest Group
London, United Kingdom
18 Nov 2022
18 Dec 2022
Job Function
Industry Sector
Finance - General
Employment Type
Full Time
Join us as a Quantitative Desk Analyst

  • You'll use your development expertise on highly technical and specialist aspects of the analytics library
  • Day-to-day, you'll combine solving analytical problems with having a direct impact on trading activity, while making sure analytics are delivered in a well-controlled and flexible environment
  • This high-profile role will bring you excellent opportunities across the bank, as well as the chance for continuous career development

What you'll do

Our Global Quantitative Analytics team is responsible for pricing, execution, and risk management models across NatWest Markets. While working in the team, you'll work closely with trading desks to develop and improve pricing and risk management tools through on-desk analytics frameworks.

Additionally, you'll be developing core library infrastructure codes, including general purpose mathematical and analytical utilities for multiple systems, applications, and areas of the bank.

You'll also be responsible for:

  • Delivering in Python, Jupyter and Excel
  • Investigating and introducing new technologies and features into the library
  • Migrating, refactoring, and restructuring code for newly introduced technologies
  • Working on safety, high performance algorithms, multi-core, and multi-processor development
  • Identifying potential progression for new areas to develop

The skills you'll need

We're looking for someone with experience in financial products or investment banking concepts.

You'll also need a good mathematical background, preferably with knowledge in probability, quantitative finance, stochastic calculus, numerical methods, multivariate statistics, econometrics, optimisation, or time series analysis.

You'll also need:

  • A good computer science background with programming skills, such as C++ and Python
  • Experience with pricing models used for rates products
  • Database knowledge, preferably KDB or SQL