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HarbourVest Partners

Vice President, Quantitative Investment Science

Job Posted 20 Days Ago Posted 20 Days Ago
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Boston, MA
Senior level
Boston, MA
Senior level
The VP of Quantitative Investment Science will develop quantitative models for portfolio optimization, manage investment risks, and lead research projects while collaborating with teams to innovate solutions.
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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 champion 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:
  • Develop bespoke asset allocation and portfolio construction recommendations based on the unique set of client objectives and constraintsContribute to the formulation of institutional asset allocation, investment risk management, and investment beliefs
  • Create custom analyses with focus on asset allocation, portfolio optimization, investment risk, stress testing, and benchmarking
  • Optimize models, ensuring their efficiency and robustness in diverse market conditions
  • Work closely with QIS Research function on research projects, including authoring white papers and other thought leadership publications
  • Extend existing infrastructure of quantitative capabilities

What you bring:

  • 5+ years quantitative research or portfolio management experience
  • Strong technical background, including building and evolving quantitative models with the focus on asset allocation, portfolio optimization, and investment risk management
  • Past experience with portfolio construction and implementation research is a plus
  • Exceptional analytical skills with the ability to develop recommendations and support assertions with relevant quantitative and qualitative data
  • Intermediate skills in at least one programming language (like Python, C, C++)
  • Outstanding communication skills and strong ability to collaborate effectively with cross-functional teams and senior leadership

Education Preferred

Graduate degree in a technical or quantitative disciplines, like statistics, mathematics, physics, electrical engineering, operations research, or computer science. PhD is a plus.

#LI-Hybrid

Top Skills

C
C++
Python
HQ

HarbourVest Partners Boston, Massachusetts, USA Office

One Financial Center, , MA , US, Boston, MA, United States, 02111

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