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Trading Systems Algorithmic Developer

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VR/01374 | Management Consulting | London | Quantitative Analysts, Information Technology | Negotiable

This is an outstanding opportunity to join one of the most prestigious technology teams in algorithmic trading.  We\\\'re looking for algo trading systems developers to work closely with a range of hedge fund professionals including quantitative analysts, traders and operations staff, in order to design and implement cutting edge systems to keep this business at the forefront of its field. These roles cover the high frequency market data feeds, statistical trading signal generation system and high frequency electronic execution components that constitute the AHL trading platform.

Requirements:

Technology and Business Skills:

Essential

  • Exceptional technology skills; recognised by your peers as an expert in your domain
  • Extensive Java experience, OO design and patterns
  • Extensive experience of relational data modelling, including DML and DDL
  • A proponent of agile development methods; continuous integration, unit testing, refactoring and related approaches
  • Experience of distributed, concurrent processing server-side development
  • Proficient working on all major platforms - Linux, Windows and UNIX; working knowledge of various scripting languages
  • Experience of a range of open source frameworks: Spring (or other DI),  Eclipse, Maven
  • Experience of event driven, asynchronous architectures and messaging/market data processing
  • Advantageous
  • Knowledge of statistical methods and probability and their application to trading systems
  • Oracle and / or OneMarketData OneTick time series database
  • Additional programming languages - C++, R and Python
  • ZK or Django RIA frameworks
  • Experience in the front office technology group of a trading organisation (hedge fund, investment bank)

Personal Attributes and Management Skills

  • Significant post graduate experience in software development, preferably in finance
  • Strong academic record and a degree in a subject with good mathematical content and computing exposure or Computer Science, Maths, Engineering or Physics from a leading university
  • Intellectually robust with a keenly analytic approach
  • Able to establish and maintain a close working relationship with research academics, traders and senior business people alike
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views
  • Focused on delivering value to the business; relentless efforts to improve how that is done

Preferred Qualifications:

Preferably computer-science and/or maths/physics related degree

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