
Quantitative Analyst, Quantitative Strategies
Required skills
- Quantitative Analyst
- Quantitative Strategies
- Systematic Equity Strategies
- Sector-Specific Signals
- Company-Level KPIs
- Custom Dataset Development
- Alpha Research
- Signal Research
- Model Implementation
- Backtesting
Nice to have
- Data Science
- Data Analytics
- Quantitative Research
- Investment Firm
- Data Analytics Firm
- Research Provider
Role summary
Seeking a Quantitative Analyst for a systematic equity strategies team in New York. The role involves alpha research, data analysis, signal development, and model implementation using Python, alternative data, and quantitative modeling. Responsibilities include identifying and analyzing datasets, integrating AI workflows, and developing data-driven insights. Requires 1-3 years of experience in data science or quantitative research, strong Python skills, and experience with KPIs and alternative datasets. Experience with LLMs, ML tools, and sector-specific equity research is highly desirable.
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29449 in the subject.
Job Description
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.
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
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.
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