Senior Associate, Quantitative Researcher

Job Description Summary

This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed.

As a member of the Quantitative Investment Sciences (QIS) team, this Senior Associate, Quantitative Researcher will work with a team of experienced researchers to develop and conduct quantitative modeling and analysis of investment opportunities. This motivated individual will be dedicated to supporting HarbourVest investment strategy teams on active investment diligence, pipeline monitoring, portfolio construction, and generating quantitative insights for client engagements and fundraising. Our projects harness large proprietary private market datasets and statistical models to produce insights that enhance a historically fundamental research-based investment process.

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.

• 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.

Conducting quantitative/statistical analysis of private markets and investment opportunities (80%)

• You will play a lead role in analyzing proprietary private markets datasets and models to characterize market risk/return relationships, evaluate investment opportunities in the private equity co-investment market to inform investment selection and due diligence.
• Diligently perform data exploration and visualization to test investment team hypotheses.
• Accountable for communicating analysis results and actionable insights to the investment team.
• Support and drive adoption and integration of QIS models with fundamental analysis conducted by deal teams.
• Seek to apply new models and techniques (AI/ML) to advance the use of quantitative methods in the investment process.

Responding to ad-hoc quantitative analysis requests (20%)

• Supporting client facing teams in conducting ad-hoc analysis and responding to client requests.

• Experience in quantitative equity is required; prior experience with bottoms-up financial modeling is preferred
• Prior private markets experience is not required
• Demonstrate rigorous statistical analysis and experience analyzing large datasets
• Strong programming skills, preferably in Python (including numerical, statistical modeling and visualization libraries) and SQL
• Prefer prior independent research experience (academic thesis or industry research)

• Bachelor of Arts (B.A) or Bachelor of Science (B.S.) required
• Master's degree or Ph.D. in a technical field preferred

• 5-7+ years of relevant experience in quantitative research, quantitative investing, systematic investing, or related quantitative finance roles

#LI-Hybrid

Base Salary Range (for US-based employees)

$180,000.00 - $210,000.00

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 eligibility, total compensation may include participation in long-term reward programs (typically for more senior-level roles). We also offer a comprehensive total rewards package that may include retirement contributions, health insurance, income protection, paid time off and leave benefits as well as well-being 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.