Quant Researcher
Core
Develop and improve quantitative investment strategies in equity markets, working across the full research lifecycle from idea generation to trade execution.
Role type
Quantitative researcher (systematic equity strategies)
Builds
Investment signals for systematic equity strategies
Domain
Finance, quantitative equity research
Deliverable
production ML models
Required skills
Econometrics, statistics, Python, data modeling, ML/AI techniques, portfolio construction, trading cost modeling, risk modeling
Preferred skills
Investment field experience, LLMs/AI techniques, original research track record
Technologies
Python
Responsibilities
Identify new investment ideas or innovative data sources; Source, gather, and refine complex data for modeling; Code and perform statistical/ML analysis to build, test, and refine predictive models; Interpret, present, and implement research results; Conduct research on implementation aspects like trading cost models, risk models, and optimization; Collaborate with adjacent research teams to share techniques and insights.