ML Researcher: Live Trading Alpha Models

Dex; Greater London; Vor Ort; GBP 90.000 - 130.000; Vollzeit

Zusammenfassung

Dex is partnering with a premier algorithmic market maker to hire a quantitative researcher for ML-driven alpha models. You will design and train deep learning architectures on high-frequency data, build streaming pipelines, and deploy models into live production trading with low latency requirements.

You should have a degree in a quantitative field and hands-on experience applying ML to real-time data, plus production-grade Python skills and experience with pipelines and experiment tracking.

Qualifikationen

• Degree in a quantitative discipline (CS/ML/math)
• Hands-on experience applying ML to real-world production problems
• Experience modeling time-series data or high-frequency streaming inputs
• Production-grade Python skills with ML infrastructure, pipelines, experiment tracking, and versioning

Aufgaben

• Design and train deep learning architectures for short-horizon forecasting on high-frequency data.
• Engineer streaming feature extraction pipelines transforming tick-level data into model inputs.
• Integrate predictive models into live production trading environments with low latency.
• Own the full modeling lifecycle: backtesting, execution analysis, and live monitoring.

Kenntnisse

Python programming

ML deployment

Time-series modeling

Production ML pipelines

Ausbildung

Bachelor's degree in CS/ML/math

Tools

PyTorch

TensorFlow

MLflow

Jobbeschreibung

Dex is partnering with a premier algorithmic market maker to hire a quantitative researcher for ML-driven alpha models. You will design and train deep learning architectures on high-frequency data, build streaming pipelines, and deploy models into live production trading with low latency requirements.

You should have a degree in a quantitative field and hands-on experience applying ML to real-time data, plus production-grade Python skills and experience with pipelines and experiment tracking.