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Mathematical C#/Python Software Developer – London – Finance

Mathematical C#/Python Software Developer – London – Finance

  • Location

    London, United Kingdom

  • Sector:

    Development

  • Job type:

    Permanent

  • Contact:

    Jon Kay

  • Job ref:

    7693

Mathematical C#/Python Software Developer – London – Finance

London – Asset Management

Salary: Up to £90,000 + Benefits + Bonus

C#, .Net, SQL, Python, R, Python, Lua, Perl, FIX, Matlab, FX, Fixed Income, Macro, Futures, Bash, OCaml, Linux, Neural Networks, C, High Performance Computing

A quantitative trading asset management fund based in the heart of London are seeking a skilled software developer to work on their live systematic trading applications. This organisation specialise in all major asset classes and have some exciting Greenfield projects on their systematic trading arm.

This opportunity will require you to have strong skills in programming, preferably with C# and Python. It is essential that you have some sort of scripting experience with either Perl, Python, Lua or Ruby. You will be assigned to confidential research work and be empowered to improve trading tools and applications as well as experiment with machine learning concepts for strategies. You will also work on low latency systems and if you have experience with the Linux TCP stack this will be highly advantageous.

Key requirements

  • Strong OO programming with C#
  • Either a computer science or numerate degree
  • Experience with statistical programming languages
  • Strong SQL Knowledge
  • Financial experience
  • Keen interest in machine learning
  • Experience with FIX – Advantageous

This is a great opportunity to work on some of the most challenging systems where you can combine your strong skills in problem solving and experience in multiple technologies. You will gain great experience across the business and get to carry out operational duties as well as exciting tech challenges. If you are keen in joining a pioneering tech driven buy-side firm, then please apply fast.

For more information, contact Jon Kay @ Harrington Starr.