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Quantitative Analyst, Quantitative Strategies

at Millennium

Back to all Python jobs
Millennium logo
Industry not specified

Quantitative Analyst, Quantitative Strategies

at Millennium

JuniorNo visa sponsorshipPython

Posted 17 hours ago

No clicks

Compensation
$150,000 – $200,000 USD

Currency: $ (USD)

City
New York City
Country
United States

**Quantitative Analyst, Quantitative Strategies** in New York, joins a collaborative team designing systematic equity strategies. This role thrives at the nexus of equity research, alternative data, and quantitative modeling, emphasizing sector-specific signals and bespoke dataset development. Key responsibilities include partnering with portfolio managers for alpha research, managing structured/unstructured datasets, and improving processes via Agentic AI. Apply your Proficiency in Python, R, SQL, and Git, along with experience in quantitative modeling, machine learning, and sector-specific signals for a challenging yet rewarding role.

Quantitative Analyst, Quantitative Strategies

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.

Quantitative Analyst, Quantitative Strategies

at Millennium

Back to all Python jobs
Millennium logo
Industry not specified

Quantitative Analyst, Quantitative Strategies

at Millennium

JuniorNo visa sponsorshipPython

Posted 17 hours ago

No clicks

Compensation
$150,000 – $200,000 USD

Currency: $ (USD)

City
New York City
Country
United States

**Quantitative Analyst, Quantitative Strategies** in New York, joins a collaborative team designing systematic equity strategies. This role thrives at the nexus of equity research, alternative data, and quantitative modeling, emphasizing sector-specific signals and bespoke dataset development. Key responsibilities include partnering with portfolio managers for alpha research, managing structured/unstructured datasets, and improving processes via Agentic AI. Apply your Proficiency in Python, R, SQL, and Git, along with experience in quantitative modeling, machine learning, and sector-specific signals for a challenging yet rewarding role.

Quantitative Analyst, Quantitative Strategies

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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