What are the responsibilities and job description for the Vice President, Quantitative Investment Science position at HarbourVest Partners?
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 3-4 days minimum per week in the office.
As a Quantitative Investments, VP you will focus on developing and testing quantitative models and data-driven insights utilizing proprietary data sets to expand portfolio optimization, investment risk, and asset allocation framework within private markets. As a leader on the team, you will remove barriers to success by encouraging creative solutions and championing the culture of continuous innovation.
The ideal candidate is someone who has :
- Quantitative research or portfolio management experience within equities or alternatives
- Proficiency with asset allocation, portfolio optimization, and portfolio construction techniques
- Deep understanding of macroeconomic trends
- Ability to clearly articulate and advocate positions and communicate complex concepts to broad audiences
- Creativity, modeling intuition, superior analytical and problem-solving skills
- Independent thinker with an entrepreneurial mindset, comfortable with taking initiative and driving results
What you will do :
What you bring :
Education Preferred
Graduate degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, operations research, or computer science. PhD is a plus.
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