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!
