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Quantitative Developer - Machine Learning Trading Strategies

Paragonalpha — United States · Posted ~4 hours ago

Senior Full-time

Skills

Python machine learning quantitative development large-scale data processing Linux software engineering C++ distributed computing

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Summary ✨ AI‑Generated

An experienced quantitative developer role combining machine learning, software engineering, and financial modeling. The position involves building production-grade models, optimizing computational workflows, and transforming research ideas into automated strategies.

Highlights

Opportunity to apply machine learning expertise to financial systems, work with large datasets, and collaborate with quantitative research teams.

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.