Vice President, Quantitative Researcher, Infrastructure & Real Assets

HarbourVest Partners•Boston, MA

4d•Hybrid

About The Position

As a member of the Quantitative Investment Sciences (QIS) team, this Quantitative Researcher will join a highly diverse and growing group of expert researchers, data engineers and software developers who are pioneering the development and application of quantitative models and tools to private market investment decision making and portfolio management. This motivated individual will serve as a dedicated quantitative researcher for HarbourVest’s Infrastructure and Real Assets strategy team, generating quantitative insights to inform investment diligence and asset selection, portfolio construction, and support client engagements and fundraising. Our team's projects harness large proprietary private market datasets and statistical models to enhance a traditionally fundamental research-based investment process.

Requirements

Strong foundation in quantitative equity research and systematic investment methodologies
Demonstrated ability to conduct independent research, apply rigorous statistical techniques, and translate findings into actionable investment insights
Experience working with large, complex datasets and developing quantitative models to support investment decision-making
Advanced programming skills in Python and SQL
Experience within asset management, hedge funds, proprietary trading firms, or similar investment environments
Exceptional analytical, communication, and problem-solving skills, with the ability to influence both technical and investment stakeholders
Intellectual curiosity, strong ownership, and the ability to thrive in a collaborative, fast-paced environment
Bachelor's degree, preferably in Mathematics, Statistics, Economics, Physics, Computer Science, Engineering, Finance, or a related quantitative discipline
5-10+ years of experience in quantitative research, quantitative investing, systematic investing, or related quantitative finance roles

Nice To Haves

Familiarity with machine learning and data science techniques is a plus
Exposure to infrastructure, real assets, or private markets is preferred but not required
Master's degree or Ph.D. in a quantitative field is strongly preferred

Responsibilities

Quantitative modeling and analysis of private infrastructure and real assets markets and secondary investment opportunities (80%)
Take a lead role in applying models to characterize market risk/return relationships and return drivers, and to evaluate investment opportunities in the private markets.
Accountable for communicating results and actionable insights to the investment team.
Lead a strategic research and development plan with investment team leadership.
Seek to incorporate new models and techniques (AI/ML) to enhance and scale the investment process.
Support fundraising and ad-hoc quantitative analysis requests (20%)
Support client-facing teams and publishing insightful research.