Front Office Quant Analyst – Fixed Income Sales & Trading (1–3 years experience)

  • £50,000 to £70,000 + Bonus
  • London, England, United Kingdom London England GB
  • Permanent, Full time
  • Maxfield Search
  • 13 Apr 18 2018-04-13

My client, a leading Banking Group, has an excellent London based opportunity for an Analyst / Associate level Quantitative Analyst role in their highly regarded Global Markets team. You will enjoy a range of quantitative responsibilities primarily based around supporting the Fixed Income Trading desk. To apply you will need to demonstrate at least 12 months prior experience working in a quantitative position in a major Financial Services organisation. Holding a PhD is NOT essential for this position.

Responsibilities

  • Assistance in the development, evolution and implementation of trading strategies - including risk and pricing analytics.
  • Development and optimization of algorithms.
  • Development and improvement of the Interest Rates Curves analytics.
  • Refinement to existing platforms and quantitative tools to meet highest quality standards.
  • Development and improvement of the testing process in the quantitative libraries and tools.
  • Other ad hoc projects based around validating & approving pricing models, Risk Modelling and Derivatives Pricing.

Essential

  • MSc (minimum) in a technical degree eg Mathematics, Physics, Computer Sciences, Engineering.
  • Strong programming skills at least in one language - ideally preferable C++ and/or Python
  • Advanced Excel / VBA skills
  • Strong interpersonal skills and a desire to work in a team environment are critical.
  • Creative thinker and an excellent at solving problems.
  • Ability to work independently, under pressure and with limited information and capable of making strong, quick decisions – when required to do so
  • Determined attitude combined with enthusiastic approach and positive drive as a worker.
  • Good communication skills and the ability to translate complex real-world requirements into quantitative terms, analytic models and quantitative solutions