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.
Quantitative Developer - Machine Learning Strategies - Trading Desk in City of London employer: Paragon Alpha - Hedge Fund Talent Business
As a leading Tier 1 Hedge Fund, we pride ourselves on fostering a dynamic and collaborative work environment in the heart of London. Our culture encourages innovation and independent thinking, providing employees with unparalleled opportunities for professional growth and development while working alongside top-tier investment professionals. Join us to make a meaningful impact in the fast-paced world of Emerging Markets, where your expertise will be valued and rewarded.
Contact Details:
Paragon Alpha - Hedge Fund Talent Business Recruitment Team
