Data Analyst / Data Scientist – Alternative Data

Location: New York, NY

About the Company

A leading long/short equity hedge fund known for its research-driven investment approach is looking to expand its data and insights function. The team leverages alternative data, fundamental signals, and proprietary analytics to support high-conviction investment decision-making across consumer, retail, and broader discretionary sectors. With a lean, high-impact structure, every hire has a direct influence on portfolio outcomes.

About the Role

This seat sits at the heart of the investment process. You’ll work closely with investment professionals and engineering teams to source, analyze, and translate complex datasets into actionable insights that drive portfolio decisions.

What You’ll Do

Work hands-on with large alternative datasets and develop insights around consumer behavior, market trends, and company performance
Build end-to-end analyses: data extraction, cleaning, feature development, and insight generation
Present data-driven conclusions to portfolio managers and senior leadership
Partner with engineering to improve data workflows, pipelines, and analytical tooling

What We’re Looking For

We want someone who excels at turning data into insight, not someone focused purely on building ML models.

Required Background

1.5+ years of relevant experience (not considering candidates who started a new job in 2025)
Strong academic performance GPA 3.7+
Proficiency in Python and SQL
Experience driving insight generation from data (data analyst or data scientist roles with real impact)
Exposure to alternative data, consumer datasets, or transaction-based datasets

Ideal Background

Experience at insight-focused data providers such as M Science, Yipit Data, Consumer Edge, or similar
Candidates who have directly influenced product, research, or investment decisions through quantitative insights

Alexander Chapman

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