Vacancy detail

Credit Algo Quant Role - VP/AVP level

£100,000 – £150,000 perfomance based bonus

Location: United Kingdom (London – London) Type: Permanent

Credit Algo Quant Role - VP/AVP level

London based

Key Responsibilities:

  • Design, implement and maintain market making algorithms and automated-response systems for traded fixed income products.
  • Analyze performance of the model with actual market-making operation and issue recommendations for model improvements.
  • Data analysis on large data sets and backtesting.
  • Work independently and generate ideas for improving the existing algos as well as participate in building new ones.
  • Understand a large complex code base and make frequent improvements to it.
  • Debug/improve performance of existing code.
  • Build tools to help monitor and improve the different strategies.
  • Interact with technology/traders/quantitative

Requirements:

  • Proven success in solving practical problems (ideally in finance) using statistical and machine learning techniques.
  • Experience in quant trading/algo trading/automated market making in any asset class is preferred.
  • Familiarity with spread products (credit, munis, mortgage).

Skills:

  • Experience working with kdb+/q is essential.
  • Strong programming skills in C++ and Python.
  • Knowledge of statistics and machine learning. Ability to work with large data-sets.

Qualification:

  • S. or Ph.D. in financial engineering, computer science, statistics, engineering or related fields.

Reference: AMC/JME/CREALGO123

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