Machine Learning and Quant Engineer - London
Core
Build quantitative and ML-driven insight systems using structured time series data to turn raw financial data into actionable investor signals.
Role type
Senior IC machine learning and quant engineer (financial time series)
Builds
Quantitative insight generation and scenario analysis pipelines
Domain
Finance + Time Series Analysis
Deliverable
production ML models
Required skills
Python, time series modeling, investment domain knowledge, AI-assisted coding, model productionization, signal evaluation, attribution analysis, explainability
Preferred skills
buy-side or sell-side experience, alternative data experience
Technologies
Python
Responsibilities
Develop models using structured financial time series, Build insight generation and scenario analysis pipelines, Collaborate with backend engineers to deploy models in production, Evaluate signals based on real investor outcomes, Improve attribution and explainability, Shape how quant insights are built at Reflexivity
Seniority
Senior, hands-on IC