Senior Quant ML Research Scientist

eFinancialCareers; Greater London; Hybrid; GBP 85,000 - 125,000; Full time

Job summary

eFinancialCareers advertises a Machine Learning Engineer role in a boutique investment setting. The position focuses on quantitative ML research, AI engineering and data infrastructure to support investment decision‑making.

Ideal candidates will have 3–5 years exposure to ML on structured datasets, time‑series data and financial research environments, with strong Python tooling and model validation capabilities.

Qualifications

• Advanced degree or equivalent practical experience in ML, statistics, economics, or related quantitative discipline.
• 3–5 years of industry experience applying machine learning to structured datasets.
• Proven ability to design and deploy predictive models for financial markets.

Responsibilities

• Design, develop and deploy ML models for financial market predictions.
• Build AI-powered systems to extract and structure information from financial documents.
• Develop data pipelines and infrastructure to support research and production workloads.
• Create explainable models with robust validation and uncertainty estimation.
• Collaborate with researchers and investment professionals to translate findings into actionable insights.

Skills

Machine Learning

Quantitative Analytics

Statistical Modelling

Time-series Analysis

Education

MSc or PhD in a quantitative field

Equivalent practical experience

Tools

Python

PyTorch

SQL

Job description

eFinancialCareers advertises a Machine Learning Engineer role in a boutique investment setting. The position focuses on quantitative ML research, AI engineering and data infrastructure to support investment decision‑making.

Ideal candidates will have 3–5 years exposure to ML on structured datasets, time‑series data and financial research environments, with strong Python tooling and model validation capabilities.