We're working with a trading pod at a leading global hedge fund looking for an experienced Quantitative Developer to join a systematic macro trading team in London.
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 Pod in London employer: Paragon Alpha - Hedge Fund Talent Business
Paragon Alpha is an exceptional employer that fosters a dynamic and collaborative work culture, ideal for professionals seeking to make a significant impact in the hedge fund industry. With a strong emphasis on employee development, we offer ample growth opportunities and support for continuous learning, ensuring our team members thrive in their careers. Located in a vibrant financial hub, our office provides a stimulating environment where innovative ideas are encouraged and rewarded.
Contact Details:
Paragon Alpha - Hedge Fund Talent Business Recruitment Team
