Software Engineer Python Quant Trading - eFinancialCareers : Job Details

Software Engineer Python Quant Trading

eFinancialCareers

Job Location : London, UK

Posted on : 14/05/2024 - Valid Till : 20/05/2024

Job Description :

Quant Developer/ Software Engineer (Python), Monetisation Technology

Quantitative Trading and Investment Firm

London, UK

We are working closely with a quantitative trading and investment firm who have recently launched their London office, and are looking to expand their front office technology team.

As a Quant Developer/ Software Engineer (Python), you will work closely with the quantitative, portfolio researchers and monetisation researchers to develop and improve the cutting-edge research and development platform, uncluttered by legacy platforms and processes.

Role Details:

  • Working closely with Monetisation researchers
  • Develop and manage high quality, robust and efficient data and model pipelines
  • Improve capabilities, performance, reliability, scalability and throughput of machine learning systems in a trading environment.
  • Build automated tools to evaluate model performance
  • Work closely with quantitative, portfolio researchers to improve the profitability of trading tactics

Qualifications:

  • 5+ years of experience in Machine Learning or Quant Finance
  • Strong Python expertise is required, and C++ expertise is a plus.
  • Quantitative background (eg: statistics, linear algebra, or calculus) and/or Pandas and Numpy expertise that allows close collaboration with researchers a strong plus
  • Experience with data driven python pipelines, data/ML platform design production model evaluation, and/or MLOps a strong plus
  • Portfolio optimisation / market impact models / optimal execution / transaction cost analysis a strong plus
  • Experience with production front office trading systems is a plus but not required
  • Industry Experience: no preference
  • Non-compete: 6 or less is best but will consider up to 12 months

Apply now for more information!

Salary : -

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