Machine Learning Engineer - Quant Trading - Hedge Fund

Paragon Alpha - Hedge Fund Talent Business; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Paragon Alpha, a leading hedge fund talent business, partners with a multi-strategy quant hedge fund to hire a senior ML engineer. You will own data-driven model development, evaluation, deployment and fine-tuning within systematic trading strategies.

Stack: Python, TensorFlow, C++. The role requires deep ML experience from data to production, with a proven track record of robust models used in live trading environments.

Qualifications

• Extensive experience in end-to-end ML model lifecycle for trading systems.
• Ability to deploy and fine-tune ML models in a production environment.
• Strong background in data evaluation, feature engineering, and model validation.

Responsibilities

• Develop and deploy ML models for systematic trading strategies.
• Collaborate with researchers to translate research into production code.
• Monitor model performance and iterate to improve risk-adjusted returns.

Skills

Machine Learning

Tools

Python

TensorFlow

C++

Job description

Paragon Alpha are working with a multi-strategy quant hedge fund who are looking to make a key hire within a central trading team.

They have a team of researchers and PhD graduates, but need someone with deep experience in machine learning, from data, evaluation, deployment and fine tuning; to join and help deploy ML models within systematic trading strategies.

Stack: Python, Tensorflow, C++