Quantitative Analyst, Quantitative Strategies

Millennium•New York, NY

1d•$150,000 - $200,000•Onsite

About The Position

We are seeking a Quantitative Analyst to join a small, collaborative team focused on systematic equity strategies. This role is well suited for someone who enjoys working at the intersection of equity research, alternative data, and quantitative modeling, with a particular focus on sector-specific signals, company-level KPIs, and custom dataset development. The role offers direct exposure to the SPM and broader investment process, with the opportunity to contribute across idea generation, data work, signal research, model implementation, and backtesting.

Requirements

Bachelor’s, Master’s, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, Physics, or a related discipline
Strong Python skills
Experience working with company- and sector-specific KPIs
Experience using alternative, fundamental, and positioning datasets
Strong analytical, problem-solving, and communication skills

Nice To Haves

Practical experience using LLMs or modern ML tools in analytical, research, or dataset-building workflows is highly desirable
1–3 years of experience in data science, data analytics, quantitative research, or a related role
Experience at an investment firm, data analytics firm, research provider, or software company is preferred
Demonstrated ability to take analytical projects from conception through implementation
Experience systematizing previously manual or judgment-based processes
Experience with sector-specific equity research, particularly in industrials, commodities, healthcare, or financials
Experience building custom datasets or KPI frameworks
Experience working with messy or incomplete real-world data and converting it into usable research inputs

Responsibilities

Partner closely with the SPM and team on alpha research for systematic equity strategies, with a focus on sector-specific signals and company-level forecasting
Identify, collect, organize, and analyze structured and unstructured datasets relevant to company, product, and sector behavior
Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
Develop creative, data-driven ways to track companies, industries, and products beyond traditional financial statement analysis
Contribute to the research, implementation, and backtesting of signals using alternative, fundamental, and positioning datasets
Apply sound financial intuition and statistical techniques to turn raw data into investable insights
Work in a transparent, collaborative environment with visibility into the broader investment process