Artificial Intelligence (AI), Computer Science, Data Sets, Equity Securities, Forecasting, Fundamental Analysis, Mathematics, Physics, Predictive Modeling, Productivity Management, Productivity Model, Python Programming/Scripting Language, Quantitative Research, Statistical Learning Theory, Statistics, Strategic Planning, Team Player, Training Data Sets
LOCATION
NY
POSTED
30+ days ago
Quantitative Researcher, Quantitative Strategies
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.