EGB Quant Trading Researcher

3 days ago

London Area, United Kingdom Rosehill Search Full time

Our Tier 1 client's Quant Trading team is looking to hire a quant trader/researcher to develop automated pricing, trading and hedging algorithms across European linear interest rate products. The role involves idea generation, modelling, backtesting, and enhancing a mission-critical trading engine. Experience in automated market making in flow products is required; knowledge of European government bonds (EGBs) is a plus.

Your key responsibilities

  • Working as part of interest rates quant team on all aspects of electronic and automatic trading strategy including customer, competitor and market analysis, algorithm design and implementation, voice trader partnership.
  • Ensuring that the reasoning, thought process and investigation behind all work is well understood and agreed upon.
  • Working with partners across the bank including engineering and technology, voice trading and the broad quantitative trading community to further develop the capabilities of the platform.
  • Performing quantitative data analysis, model building and subsequent optimisation of pricing and risk management for the client franchise.

Your skills and experience

  • Positive and pragmatic can-do attitude in all scenarios, from taking the initiative as a proactive self-starter, to working well with others in a highly collaborative team.
  • Able to articulate ideas confidently and concisely to enable effective communication across multiple teams and functions.
  • Experience of quantitative analysis, trading or research including subjects such as pricing and risk management for liquid financial markets, balancing the trade-off between improving research results and translating them into business outcomes.
  • Experience in Euro government bonds and government bond futures and understanding of the institutional bond market is an advantage.
  • Strong computing and programming (coding) skills and experience, utilising programming languages such as KDB/q and Python/R, as well as algo coding skills (Java or C++).
  • Understanding of deep learning models and training tools is an advantage.
  • Previous track record of positive contribution to P/L and/or ability to grow customer franchise is highly desirable.
  • A good understanding of cross-asset cash and derivative products, across markets and the skills to solve complex business problems.
  • Relevant analytical and numerate education such as a Bachelor of Science (BSc)/Master of Science (MSc)/Doctor of Philosophy Degree (PhD) or the equivalent work experience or qualifications.

You can expect:

  • Competitive salary and non-contributory pension
  • Generous holiday allocation (title dependent) plus bank holidays, with the option to purchase additional days
  • Life Assurance and Private Healthcare for you and your family
  • A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
  • The opportunity to support a wide-ranging CSR programme plus volunteering day(s)

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