Quantitative Researcher
Core
Develop and evaluate quantitative equity investment models using statistical and machine learning techniques to generate predictive trading signals.
Role type
Quantitative Researcher (Equity)
Builds
Predictive trading signals and scalable research pipelines
Domain
Financial Services / Quantitative Equity
Deliverable
production ML models
Required skills
Quantitative trading strategy development, Feature engineering, Predictive modeling (linear, tree-based, neural networks), Large-scale data processing, Distributed computing, Empirical research design, Financial data analysis, Scientific programming, Performance attribution, Hypothesis testing
Preferred skills
None stated
Technologies
Python, Cloud computing infrastructure
Responsibilities
Engineer features from diverse large-scale data sources, Construct and evaluate alpha signals, Analyze cross-sectional and time-series relationships, Design and implement end-to-end scalable research pipelines, Evaluate signal quality and portfolio performance, Collaborate with engineers to implement ideas in production systems
Seniority
Mid-Senior (Master's or Bachelor's + 3 years)