Junior ML Quant Researcher – Systematic Trading

Tempest Vane Partners; Greater London; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Pension

Private healthcare

Life assurance

Performance bonus

Job summary

Tempest Vane Partners in London seeks a junior Quantitative Researcher with a strong background in predictive machine learning to join an established research team. You will apply advanced statistical and machine-learning techniques to financial data in a collaborative, research-led environment.

You will work alongside top researchers, ML specialists and software engineers, contributing to the complete strategy-development lifecycle from hypothesis to live trading, with mentoring and career

Qualifications

• Master's or PhD in ML, CS or STEM field.
• Strong knowledge of modern ML methods and statistics.
• Experience developing predictive models via research or internships.
• Experience with large, complex datasets and model validation.

Responsibilities

• Conduct original research on predictive ML within systematic trading.
• Analyze large, noisy datasets to identify patterns forecasting market behavior.
• Develop, train and validate statistical and ML models for return prediction and signals.
• Research techniques including supervised learning, regularisation, feature selection and ensemble modeling.
• Design robust experiments and backtests considering overfitting and market conditions.
• Investigate new datasets and develop features to improve models.
• Collaborate with researchers and engineers to deploy models in production research and trading systems.
• Monitor model behavior and identify performance improvements.
• Stay current with ML, statistics and quantitative finance developments.

Skills

Predictive ML

Python

Statistics

Experimental design

Data analysis

Model validation

Education

Master's degree (ML/CS)

PhD in ML/CS

Tools

Python (NumPy/SciPy)

Scikit-learn

Pandas

Job description

Tempest Vane Partners in London seeks a junior Quantitative Researcher with a strong background in predictive machine learning to join an established research team. You will apply advanced statistical and machine-learning techniques to financial data in a collaborative, research-led environment.

You will work alongside top researchers, ML specialists and software engineers, contributing to the complete strategy-development lifecycle from hypothesis to live trading, with mentoring and career