Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29446 in the subject.
Job Description
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.
Location
New York
Principal 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
Preferred Technical Skills
- 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
Preferred Experience
- 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
Highly Valued Relevant Experience
- 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
Target Start Date
- ASAP, though we will wait up to 12 months for an exceptional candidate
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.