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Quantitative Developer – Python – Investment Management

2 months ago

London, Greater London, United Kingdom Orbis Consultants London Full time
About the Role

As a Quantitative Developer at Orbis Consultants London, you will play a key role in developing and implementing high-performance trading strategies across various asset classes. Your expertise in Python and experience in software engineering and quantitative development will be instrumental in driving our investment management business forward.

Key Responsibilities
  • Strategy Development: Collaborate with our Quant Research team to design and implement new trading strategies, research frameworks, data feeds, portfolio construction techniques, and analysis tooling.
  • High-Frequency Trading: Develop high-Sharpe, fast-frequency strategies across various asset classes, leveraging your expertise in Python and data analysis.
  • System Development: Work on high-throughput data systems using Python, ensuring seamless integration with our existing infrastructure.
Requirements
  • Commercial Experience: 5+ years of commercial experience with Python (Numpy, SciPy, Pandas, Scikit-Learn) and a strong background in software engineering.
  • Quantitative Development: Excellent previous experience in both software engineering and quantitative development, with a focus on high-frequency trading, algo trading, and systematic trading in OTC or listed markets.
  • Open-Source Contributions: A keen interest in contributing code to the open-source community.
  • Education: A degree in a highly relevant subject, such as mathematics, computer science, or physics.