Deep Researcher
Core
Build predictive signals (alphas) using a structured research process combining fundamental knowledge, data exploration, and quantitative analysis to identify market inefficiencies.
Role type
Quantitative Researcher (Deep Research)
Builds
High-quality predictive signals (alphas) used as inputs in quantitative models
Domain
Quantitative finance, financial markets, AI/LLM applications
Deliverable
production ML models
Required skills
quantitative analysis, data exploration, mathematical modeling, statistics, Python, C++, domain expertise in financial topics
Preferred skills
AI research, Machine Learning (ML), Large Language Models (LLMs)
Responsibilities
Build predictive signals using a methodical research process, identify key information drivers for research, stay updated on AI/LLM advancements and integrate them into finance applications
Seniority
Mid-level, hands-on IC