Data Scientist | Equity (L/S) Hedge Fund

A newly launched long/short hedge fund is seeking a Data Scientist to join its investment team. This is a high-impact role where applied data science is central to generating differentiated insights and driving portfolio performance.

About the Role

You'll work closely with investors and engineers to source, structure, and analyze real-world datasets, build predictive models, and create outputs that directly inform investment decisions. The role combines data origination with advanced analytics - expect to work with large-scale alternative data, develop KPI forecasting models, and design dashboards that track fundamentals in real time.

Key Responsibilities

• Originate and evaluate novel datasets (e.g., supply chain, geospatial, IoT, pricing, web activity) and manage onboarding of new vendors.
• Collaborate with the investment team to translate hypotheses into data-driven projects with measurable impact.
• Build predictive models for company KPIs using econometrics, statistical methods, and machine learning.
• Design and maintain dashboards to monitor fundamentals and calibrate investment theses.
• Work with engineers to integrate models and dashboards into a scalable data platform.
• Apply AI/ML techniques (e.g., NLP, knowledge graphs) to link and organize datasets across companies and sectors.

Ideal Candidate Profile

• Strong Python skills (pandas, NumPy, scikit-learn; familiarity with PyTorch/TensorFlow a plus).
• Proficiency in SQL and experience handling large datasets; Tableau or similar BI tools for dashboards.
• 3+ years' experience applying advanced analytics or ML to real-world data, ideally in finance, supply chain, or predictive modeling contexts.
• Strong quantitative background (Math, Physics, Computer Science, Econometrics, or related fields).
• Demonstrated ability to source and leverage new datasets, not just standard financials.
• Excellent communication skills and ability to collaborate across investment and technical teams.

Why This Role Is Exciting
You'll have direct exposure to the founders, CIO, senior traders, and heads of key functions - giving you unparalleled insight into investment strategy and decision-making. This is a rare opportunity to shape a data science capability from the ground up while working alongside some of the most respected professionals in the industry.

If you feel this is a good match - apply today!