Why This Role Stands Out
This hybrid role offers an exciting opportunity to directly impact trading strategies at a leading global hedge fund by developing and deploying cutting-edge machine learning models. You'll thrive here if you have a strong background in quantitative development and Python, eager to grow your skills at the intersection of ML, research, and systematic trading. Apply today to contribute to profitable trading signals and advance your career in a dynamic environment.
Quick Overview
Job Description
We're working with a trading pod at a leading global hedge fund looking for an experienced Quantitative Developer to join a systematic equities trading team.
The role sits at the intersection of machine learning, quantitative research and systematic trading , developing and deploying ML models on high-frequency market data and working closely with portfolio management to turn research into live trading signals.
You'll develop and optimise classical and deep learning models, improve distributed computing and large-scale parameter searches, and build efficient workflows from research through to production.
We're looking for someone with 3+ years' experience in software engineering, quantitative development or a similar computational role, with strong Python skills and experience working with large, complex datasets. Experience with distributed computing and Linux is important, while C++ would be a strong advantage.
This is the a unique chance to deploy ML models into systematic trading, and ensure your code and work directly generates profit.
Please apply to find out more.
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