Senior Associate, Quantitative Researcher

HarbourVest Partners • Boston, MA

2d • Hybrid

About The Position

As a member of HarbourVest’s Quantitative Investment Sciences (QIS) team, the Senior Associate, Quantitative Researcher works with experienced researchers to develop and conduct quantitative modeling and analysis of investment opportunities. The role supports HarbourVest investment strategy teams with active investment diligence, pipeline monitoring, portfolio construction, and quantitative insights for client engagements and fundraising. Projects use large proprietary private-market datasets and statistical models to enhance a historically fundamental research-based investment process. The position contributes to the application of quantitative research, machine learning, AI, and data science to private-markets investing and risk management.

The role is hybrid, with 18 remote workdays per quarter available at the employee’s discretion subject to manager approval. The work includes quantitative and statistical analysis of private markets and investment opportunities, as well as ad hoc analysis for client-facing teams.

Requirements

• Experience in quantitative equity.
• Demonstrated ability to conduct rigorous statistical analysis and analyze large datasets.
• Strong programming skills; Python, including numerical, statistical modeling, and visualization libraries, and SQL are preferred.
• Bachelor of Arts or Bachelor of Science degree.
• 5–7+ years of relevant experience in quantitative research, quantitative investing, systematic investing, or related quantitative finance roles.
• Ability to communicate quantitative insights clearly and effectively.
• Intellectual curiosity and a passion for financial markets, investing, quantitative research, and complex datasets.
• Innovative and entrepreneurial attitude, with comfort taking initiative.
• Results- and detail-oriented approach; ability to work in a collegial, collaborative, team-oriented environment and handle uneven, high-priority project work.

Nice To Haves

• Prior experience with bottoms-up financial modeling.
• Prior independent research experience, such as an academic thesis or industry research.
• Master’s degree or Ph.D. in a technical field.

Responsibilities

• Analyze proprietary private-markets datasets and models to characterize market risk and return relationships.
• Evaluate private equity co-investment opportunities to inform investment selection and due diligence.
• Perform data exploration and visualization to test investment-team hypotheses.
• Communicate analysis results and actionable insights to investment teams.
• Support and drive adoption and integration of QIS models with fundamental analysis conducted by deal teams.
• Seek to apply new models and techniques, including AI and machine learning, to advance quantitative methods in the investment process.
• Support client-facing teams with ad hoc quantitative analysis and responses to client requests.

Benefits

• Discretionary annual bonus eligibility, determined based on individual and overall firm performance.
• Potential participation in long-term reward programs, typically for more senior-level roles.
• Retirement contributions.
• Health insurance.
• Income protection.
• Paid time off and leave benefits.
• Well-being programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior