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C# / .NET Developer | Global High-Frequency Proprietary Trading

  • Job type: Permanent
  • Location: Geneva
  • Salary: £150000 - £200000 per annum
  • Job reference: 482233/003_1569949506
  • Sector: Selby Jennings, Development
  • Date posted: 01/10/2019

C# / .NET Developer | Global High-Frequency Proprietary Trading Firm

Zurich

Compensation range: £150,000-£200,000+ bonus & benefits

We are closely partnered with a global High-Frequency Proprietary Trading Firm; arguably the most established within the Electronic Trading Market. The CTO just got approvals to build out one of their global Trading teams with a business-critical hire in their Zurich office. In order to execute the build-out, they are looking to bring on a passionate C# / .NET Developer to help lead the execution of this long term project and to take control of the development moving forwards.

This is an opportunity to work at a tech-driven global firm in a team that is known globally to be one of the most academically talented and highly-acclaimed across their 7 office locations. Because of this, they are looking for the top 1% to join this team, to work closely with their CTO and senior technology team in an environment that fosters independence and innovation. The team will be utilizing C# primarily but some experience programming in .NET would be ideal to ease the close work of the two. The successful individual will need to have very solid programming skills.

Responsibilities:

  • Help lead the thought process behind library development by proposing and researching new technologies
  • Code in C# and .NET to develop a brand new leading-edge analytics library
  • Using and optimising their custom frameworks for exploring/designing/deploying trading strategies
  • Working with research and trading teams to implement new strategies

Qualifications:

  • Significant programming ability in C# and ideally some experience programming in .NET
  • Degree from a top-tier university
  • Minimum 2 years of work experience in a data rich environment
  • A strong intuition for mathematics and statistics
  • Familiarity with various machine learning techniques, ideally some experience with scalable machine learning algorithms for analysing large data sets
  • Experience with distributed computing environments (Condor, Google Cloud, etc)

If interested, please apply with a copy of your resume and we will be in touch soon!

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