Quantitative Researcher

Fynetra Limited; England; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A financial services firm based in London is seeking a Quantitative Researcher to join its investment research team. This role requires at least 3 years of experience in quantitative finance and strong programming skills in Python and SQL. The researcher will conduct advanced statistical analysis on private markets datasets and develop models to enhance investment decisions. It's an excellent opportunity to apply one's skills in a collaborative environment and influence portfolio construction directly.

Qualifications

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

Responsibilities

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

Skills

Python

SQL

Quantitative analysis

Statistical modeling

Data visualization

Education

Bachelor's degree in a technical field

Master’s/PhD in a technical field

Job description

Quantitative Researcher – Private Markets

Location: London (Hybrid, 4 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.

Focus Areas

• 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.