Quantitative ML Engineer — Systematic Trading & Research

Paragon Alpha - Hedge Fund Talent Business; Greater London; On-site; GBP 85,000 - 130,000; Full time

Job summary

Paragon Alpha is seeking an experienced Quantitative Developer to join a systematic equities trading team. You will develop and deploy ML models on high-frequency market data and collaborate with portfolio managers to translate research into live signals.

The role blends machine learning, quantitative research, and production engineering. You will optimize models, scale compute, and build workflows from research to deployment, with strong Python and Linux skills; C++ is a plus.

Qualifications

• 3+ years of experience in software engineering, quantitative development or similar computational role.
• Strong Python skills and experience with large, complex datasets.
• Experience with distributed computing and Linux; C++ is a strong advantage.

Responsibilities

• Develop and deploy ML models on high-frequency market data.
• Collaborate with portfolio management to translate research into live trading signals.
• Improve workflows, scaling and production readiness from research to deployment.

Skills

Python

Machine Learning

Distributed Computing

Linux

C++

Job description

Paragon Alpha is seeking an experienced Quantitative Developer to join a systematic equities trading team. You will develop and deploy ML models on high-frequency market data and collaborate with portfolio managers to translate research into live signals.

The role blends machine learning, quantitative research, and production engineering. You will optimize models, scale compute, and build workflows from research to deployment, with strong Python and Linux skills; C++ is a plus.