Quantitative Researcher, Quantitative Strategies

Millennium - New York, NY

Hiring: Quantitative Researcher, Quantitative Strategies Company: Millennium Location: New York, NY Job Posted Time: 2026-09-12 11:40:56 Target Skills & Keywords : Equities, LLM, Python About the job 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 •ASAP, though we will wait up to 12 months for an exceptional candidate Required Skills: •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 •Strong Python skills; experience building research tools or production-quality research infrastructure is highly desirable •Practical experience applying LLMs or modern ML techniques to research workflows, signal generation, or dataset creation is highly desirable Qualifications: •Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or a related STEM discipline Compensation: •$150,000 - $200,000 / year •Competitive benefits and rewards package •We are seeking a Quantitative Researcher to join a small, collaborative team focused on systematic equity strategies Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!