Senior Portfolio Researcher

Job Description

Senior Portfolio Researcher | Millennium

The Tone:
This is a full-time role at Millennium, located in New York, New York. Millennium is a global, diversified alternative investment firm, committed to delivering results through continuous evolution, innovation, and focus. This role is central to the Global Risk Management Department, where the team develops and applies sophisticated quantitative models, portfolio analytics, and risk tools. The Senior Portfolio Researcher’s work directly informs critical decision-making for Portfolio Managers, business leaders, and senior management across complex equity portfolios, ensuring disciplined risk management and strategic insights.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person – New York, New York
• Pay: $160000–$250000 yearly
• Team: Global Risk Management Department
• Mission: Research, develop, and apply quantitative models and analytics to manage risks in equity portfolios and support informed decision-making.
• Tech Stack: Python, SQL, AI tools (AI-assisted coding, agentic workflows, LLM use)

What You’ll Actually Do
• Research: Research and develop equity factor models, thematic factors, and portfolio and risk analytics essential for managing equity portfolio risk.
• Respond: Conduct focused quantitative research to address specific questions from business managers and senior management.
• Transition: Partner with technology teams to seamlessly move quantitative models and tools into production environments.
• Collaborate: Work alongside risk, portfolio, and business managers to ensure the accurate and effective application of quantitative models and tools in daily operations.
• Innovate: Explore and integrate new datasets and quantitative models from internal and external sources to continuously enhance the team’s analytical capabilities.
• Communicate: Prepare clear and effective presentations and reports for senior management to convey research findings, new models, and critical portfolio insights.

The Must-Haves
• Background: Holds a degree in a technical or quantitative field; a Master’s or Ph.D. in finance or economics is preferred.
• Experience: Possesses 5+ years of experience in a quantitative research role within a financial organization, specifically focused on equities. Prior experience in factor modeling, quantitative portfolio models, portfolio and risk analytics, hedging applications, and portfolio optimization is preferred. Experience developing or using fundamental equity factor models such as MSCI or Axioma is highly desirable.
• Skills: Demonstrates strong programming proficiency, including Python and SQL, along with strong written and verbal communication skills. Exhibits intellectual curiosity, sound judgment, and the ability to work independently on open-ended research questions.
• Bonus: Experience with AI tools, including AI-assisted coding, agentic workflows, and LLM use for research and recurring analytical work.