Data Scientist - Hedge Fund (New-Launch)

ZipRecruiter; City Of London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A newly launched hedge fund in London seeks a Data Scientist to drive its data-driven investment strategy. The role involves analyzing datasets, building predictive models, and collaborating with investment and tech teams to directly influence portfolio performance. Candidates should have strong Python and SQL skills, along with a background in advanced analytics. This is a fantastic opportunity for impactful work in a growing firm.

Qualifications

• 2–6 years’ relevant experience in a data science or quantitative role.
• Proficient in sourcing and structuring new datasets.
• Experience in finance, fintech, or forecasting contexts preferred.

Responsibilities

• Originate and analyze novel datasets for investment strategies.
• Build predictive models to drive investment decisions.
• Design real-time dashboards to forecast key company KPIs.

Skills

Strong Python (pandas, NumPy, scikit-learn)

SQL skills

Experience with BI tools (Tableau or similar)

Advanced analytics or ML experience

Quantitative background

Job description

Overview

Data Scientist – Hedge Fund (New launch long/short equity)

A newly launched long/short hedge fund specialising in the global Industrials sector is seeking a Data Scientist to help shape its data-driven investment strategy. The firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance.

The Role

The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best-in-class data infrastructure.

Key Requirements

• Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills
• Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal)
• Proficiency with BI tools (Tableau or similar)
• 2–6 years’ relevant experience and a strong quantitative background
• Ability to source and structure new datasets and collaborate across disciplines

Opportunity

This role offers the chance to make an immediate impact on investment decisions, collaborate with an experienced investment and technology team, and push the boundaries of data-driven investing. As the firm grows, the Data Scientist will have the opportunity to shape and expand its data science capability.