Quantitative Developer - Machine Learning Strategies - Trading Desk

Paragon Alpha - Hedge Fund Talent Business; Slough; On-site; GBP 90,000 - 130,000; Full time

Job summary

Paragon Alpha seeks 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

Qualifications

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

Responsibilities

• Develop and deploy ML models on high-frequency market data.
• Turn research into live trading signals in collaboration with portfolio management.
• Build scalable workflows from research to production.
• Improve distributed computing and parameter search processes.

Skills

Python

Machine learning

Distributed computing

Tools

Linux

C++

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.