Software Engineer - Quant Trading (Python)
Selby Jennings
Job Opportunity at Monetisation TechnologyQuantitative Trading and Investment Firm
We are working closely with a quantitative trading and investment firm who have recently launched their London office, and are looking to expand their technology team. As a Quant Developer/ Software Engineer, 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 Monetization 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!
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