Job Description Summary
For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.
In our collegial environment that’s marked by low turnover and high energy, you’ll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.
We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.
HarbourVest is an equal opportunity employer.
This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.
As a member of the Quantitative Investment Sciences (QIS) team, this quantitative researcher will work with a team of experienced researchers to develop quantitative modeling and analysis for management of private equity evergreen portfolios. This motivated individual will be dedicated to supporting and collaborating with HarbourVest’s Evergreen fund team on pipeline monitoring, liquidity management, portfolio construction, and stress testing while generating quantitative insights for client engagements and fundraising. Projects will involve leveraging large proprietary private market datasets and statistical models to systematize and enhance portfolio management decision making for these sophisticated fund structures.
This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management.
Conducting quantitative modeling and analysis to support management of evergreen private equity portfolios (80%)
Responding to ad-hoc quantitative analysis requests (20%)