Millennium
Quantitative Researcher, Quantitative Strategies
$150K–$200K
New York, New York · On-site · Full-time · Posted May 27, 2026
- Experience
- Minimum 3 years of experience in quantitative research focused on systematic equities.
- Education
- Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or a related STEM discipline.
About the job
Research and refine systematic equity strategies across the full lifecycle, from idea generation and data analysis to model development, backtesting, and live trading.
What you'll do
- Research alpha for systematic equity strategies and generate and test ideas using financial intuition, statistical learning, and diverse datasets.
- Source, clean, and analyze alternative, fundamental, and market microstructure data; build predictive models and develop signals.
- Contribute to portfolio implementation, backtesting, live strategy refinement, and Agentic AI workflows where useful.
What they ask for
- Strong Python skills.
- Experience developing systematic equity or statistical arbitrage alphas, including intraday rebalancing of multi-day horizon signals.
- Experience working with alternative, fundamental, and exchange or market microstructure data.
- Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or a related STEM discipline.
Nice to have
- Experience building research tools or production-quality research infrastructure.
- Practical experience applying LLMs or modern ML techniques to research workflows, signal generation, or dataset creation.
Pay
$150,000 to $200,000 USD base salary
Tools
Python, LLMs
AI focus
Integrate Agentic AI workflows to improve productivity, model development, or operational robustness; apply LLMs or modern ML techniques to research workflows, signal generation, or dataset creation.
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