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.
The ideal candidate is someone with:- Passion for financial markets and investing, quantitative research with complex datasets, and demonstrated intellectual curiosity.
- Innovative and entrepreneurial attitude. Comfortable taking initiative.
- Excels at clearly and effectively communicating quantitative insights.
- Strives in a collegial and collaborative team-oriented environment.
- Results and detail oriented.
- Willing to work in a position with uneven and high priority project work.
What you will do:Conducting quantitative modeling and analysis to support management of evergreen private equity portfolios (80%)- You will play a lead role in leveraging proprietary private markets datasets and models to characterize market risk/return relationships, explore liquidity and market stress events, and develop strategies to optimize liquidity management and fund performance.
- Accountable for communicating analysis results and actionable insights to the Evergreen fund team.
- Support and drive adoption and integration of quantitative models to enhance portfolio construction and management processes.
Responding to ad-hoc quantitative analysis requests (20%)- Supporting client facing teams in conducting ad-hoc analysis and responding to client requests.
What you bring:- Experience in the financial services industry in a quantitative role is required; however, prior private markets experience is not required.
- Demonstrate rigorous statistical analysis and experience analyzing large datasets.
- Strong Python programming skills (including numerical, statistical modeling and visualization libraries) with SQL experience is required.
- Prior experience in Monte-Carlo simulation methods is preferred
- Ability to learn and enhance an existing code base is required
- Prefer prior independent research experience in academia or industry
Education:- Bachelor of Arts (B.A) or Bachelor of Science (B.S.) required
- Prefer master's degree or Ph.D. in a technical field
Experience:- 3+ years of experience in a quantitative finance role
#LI-Hybrid
Base Salary Range$210,000.00 - $280,000.00
This USD base salary range represents only one component of total compensation for this role and is provided in accordance with local requirements. This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance. In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs. Our total rewards offerings are influenced by several business factors, and eligibility for certain components will vary by position and geography. Please note the posted ranges do not apply outside the U.S. and should not be converted to other currencies as a proxy for compensation in other countries.
