Quantitative Analyst, Quantitative Strategies

Millennium Management LLC; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field.
• Strong Python skills.
• Experience with company- and sector KPIs.
• Experience using alternative, fundamental, and positioning datasets.
• Practical experience using LLMs or modern ML tools is highly desirable.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Partner closely with the SPM and team on alpha research for systematic equity strategies, focusing on sector-specific signals and company-level forecasting.
• Identify, collect, organize, and analyze structured and unstructured datasets related to company, product, and sector behavior.
• Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness.
• Develop 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.

Skills

Python

KPIs

Datasets

LLMs/ML tools

Analytical skills

Communication

Education

Bachelor’s/Master’s/PhD in a quantitative field

Job description

Quantitative Analyst, Quantitative Strategies

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.

Location

New York

Principal 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.

Preferred Technical Skills

• 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.
• Practical experience using LLMs or modern ML tools in analytical, research, or dataset-building workflows is highly desirable.
• Strong analytical, problem‑solving, and communication skills.

Preferred Experience

• 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.

Highly Valued Relevant Experience

• 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.

Target Start Date

ASAP, though we will wait 6–9 months for an exceptional candidate.

Compensation and 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, which includes a base salary, discretionary performance bonus, and comprehensive benefits.