Quantitative Researcher, Quantitative Strategies

Millennium•New York, NY

1d•$150,000 - $200,000•Onsite

About The Position

We are seeking a Quantitative Researcher to join a small, collaborative team focused on systematic equity strategies. This role offers the opportunity to contribute across the full research lifecycle, including idea generation, data sourcing, signal development, model implementation, backtesting, and live strategy refinement, with forecasting horizons spanning intraday to several weeks.

Requirements

Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or a related STEM discipline
Strong Python skills; experience building research tools or production-quality research infrastructure is highly desirable
Experience developing systematic equity or statistical arbitrage alphas, including intraday rebalancing of multi-day horizon signals
Experience working with alternative, fundamental, and exchange / market microstructure data
Practical experience applying LLMs or modern ML techniques to research workflows, signal generation, or dataset creation is highly desirable
Minimum 3 years of experience in quantitative research focused on systematic equities
Strong preference for candidates from quantitative trading teams, though we are open to strong quantitative candidates from discretionary environments

Nice To Haves

Experience combining heterogeneous signals across multiple data types and horizons
Experience building custom or proprietary datasets
Experience with sector-specific equity research
Experience contributing to live trading strategy development in a small-team environment

Responsibilities

Partner closely with the SPM and team on alpha research for systematic equity strategies
Generate and test new ideas using financial intuition, statistical learning, and large, diverse datasets
Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
Source, clean, and analyze alternative, fundamental, and market microstructure data
Build predictive models and contribute to signal combination, portfolio implementation, and ongoing model refinement
Work in a transparent, collaborative environment with exposure to the broader investment process