Software Engineer - Python, Quant Trading

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

Selby Jennings