Senior Quantitative Researcher – Private Markets (ML/AI)

Harbourvest Partners, Llc; England; Hybrid; GBP 135,000 - 158,000; Full time

Job summary

HarbourVest Partners, LLC seeks a Senior Associate, Quantitative Researcher to join its QIS team. You will conduct quantitative analyses of private markets, work with large proprietary datasets, and develop ML/AI based insights to support investment diligence and fundraising.

The role emphasizes collaboration, rigorous statistics, and clear communication of complex results. It is a hybrid position with a strong focus on data-driven decision making and market risk/return modeling.

Qualifications

• Experience in quantitative equity is required; prior private markets experience is not required.
• Demonstrate rigorous statistical analysis and experience analyzing large datasets.
• Strong programming skills, preferably in Python and SQL.
• Prefer prior independent research experience (academic thesis or industry research).
• Bachelor's degree and advanced degree in a technical field.

Responsibilities

• Conduct quantitative/statistical analysis of private markets and investment opportunities (80%).
• Analyze proprietary private markets datasets and models to characterize market risk/return relationships.
• Diligently perform data exploration and visualization to test investment hypotheses.
• Communicate analysis results and actionable insights to the investment team.
• Support and drive adoption and integration of QIS models with fundamental analysis.

Skills

Quantitative research

Python

SQL

Data analysis

Communication of insights

Education

Bachelor's degree in a technical field

Master's or PhD in a technical field preferred

Tools

Python

SQL

Job description

HarbourVest Partners, LLC seeks a Senior Associate, Quantitative Researcher to join its QIS team. You will conduct quantitative analyses of private markets, work with large proprietary datasets, and develop ML/AI based insights to support investment diligence and fundraising.

The role emphasizes collaboration, rigorous statistics, and clear communication of complex results. It is a hybrid position with a strong focus on data-driven decision making and market risk/return modeling.