Quantitative Researcher
Core
Develop and implement quantitative models to identify trading opportunities in financial markets using agentic AI workflows.
Role type
Quantitative Researcher (Algorithmic Trading & AI Systems)
Builds
Algorithmic trading models, quantitative research tools, and AI-driven trading systems
Domain
Financial Services / Quantitative Finance / AI Engineering
Deliverable
production ML models
Required skills
Quantitative modeling, statistical analysis, Python, R, MATLAB, agentic AI workflows, LLM integration, rapid prototyping, cloud deployment, API design
Preferred skills
Investment banking or asset management experience, algorithmic trading system implementation, financial market instruments knowledge
Responsibilities
Conduct rigorous research to develop quantitative models for trading strategies; Analyze large datasets to identify patterns and investment opportunities; Design, backtest, and optimize algorithmic trading models; Monitor live trading systems for efficiency and accuracy; Design and implement agentic AI workflows to automate research and development; Rapidly prototype and build quantitative research tools and AI-driven systems
Seniority
Mid-Senior, hands-on IC
