Quantitative Researcher – Private Markets

Fynetra; Boston (MA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A financial services company in Boston is seeking a Quantitative Researcher to enhance investment decisions using statistical modeling and data science. Candidates should have 3+ years of quantitative finance experience, strong programming skills in Python and SQL, and a passion for data-driven investing. This full-time role offers hybrid work, with opportunities to influence portfolio construction and risk management.

Qualifications

• 3+ years’ experience in quantitative finance (equity, fixed income, or credit).
• Strong programming skills in Python and SQL.
• Experience with large datasets and rigorous statistical methods.

Responsibilities

• Conduct advanced quantitative/statistical research on private markets datasets.
• Develop and enhance models to inform investment decisions.
• Translate complex analysis into clear insights for investment teams.

Skills

Quantitative finance

Statistical modeling

Programming in Python

SQL

Data analysis

Education

Bachelor's degree

Master's/PhD in technical field

Job description

Quantitative Researcher – Private Markets

Quantitative

Perm

Hybrid

Location: Boston (Hybrid, 3 days onsite)
Type: Full-time

We’re looking for Quantitative Researchers to join a growing investment research team applying advanced analytics, statistical modeling, and data science to private markets.

These roles sit at the intersection of quantitative research and investment decision-making, offering the opportunity to work with proprietary datasets and directly influence portfolio construction, risk management, and client insights.

Depending on your background and interests, you’ll have the chance to focus on:

• Credit & Secondary Strategies – modeling private credit opportunities, analyzing risk/return dynamics, and integrating quant insights into investment diligence.
• Portfolio Analytics & Liquidity – building models for liquidity management, stress testing, and optimizing private equity portfolio construction.

What you’ll do:

• Conduct advanced quantitative/statistical research on private markets datasets.
• Develop and enhance models to inform investment decisions and portfolio management.
• Translate complex analysis into clear, actionable insights for investment teams.
• Integrate systematic approaches into traditionally fundamental investment processes.
• Explore new methods (including AI/ML) to expand research capabilities.
• Partner with client-facing teams on ad-hoc analysis requests.

What you bring:

• 3+ years’ experience in quantitative finance (equity, fixed income, or credit).
• Strong programming in Python and SQL (statistical modeling, visualization, simulations).
• Experience with large datasets and rigorous statistical methods.
• Independent research experience (academic or industry) preferred.
• Bachelor’s degree required; advanced degree (Master’s/PhD in a technical field) preferred.

The ideal fit:

• Passion for markets, data, and research-driven investing.
• Entrepreneurial mindset with strong attention to detail.
• Ability to communicate quantitative insights clearly and effectively.
• Thrives in a collaborative, fast-paced environment.

If you’re looking to bring your quant expertise into private markets and see your work directly shape investment decisions, this is an excellent opportunity.

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