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Hedge Fund Data Analyst jobs in United States
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People In AI · 1 day ago

Hedge Fund Data Analyst

People In AI is a leading research-driven firm seeking a Hedge Fund Data Analyst to shape the future of leveraging unstructured data across investment systems. The role involves leading systems that convert complex data into actionable insights, working closely with stakeholders to enhance AI and research initiatives.
Staffing & Recruiting
Hiring Manager
Jacob Bisson
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Responsibilities

Lead the design and governance of systems transforming unstructured and semi-structured data into production-grade assets
Partner closely with investors, researchers, and AI/ML engineers to map real-world logic into scalable data models
Build and evolve benchmarks to validate LLM-driven tools, ensuring output accuracy, consistency, and trustworthiness
Create systems and standards for metadata, tagging, and enrichment across large-scale datasets
Identify data anomalies, investigate root causes, and implement feedback loops to improve data fidelity
Shape operational best practices, supporting junior data partners and growing the discipline across the team

Qualification

Data architectureAI/ML toolsData validationPythonSQLCI/CD for dataExcelCuriosity about marketsConceptual reasoningCommunication skills

Required

Experience working directly with complex datasets and building fit-for-purpose data solutions
Strong conceptual reasoning and ability to abstract mess into structured logic
Deep curiosity about markets, data, and how to operationalize intelligence
Comfort navigating between technical details and high-level business outcomes
Prior work with AI tools (e.g., LLMs) or ML infrastructure preferred
Lead the design and governance of systems transforming unstructured and semi-structured data into production-grade assets
Partner closely with investors, researchers, and AI/ML engineers to map real-world logic into scalable data models
Build and evolve benchmarks to validate LLM-driven tools, ensuring output accuracy, consistency, and trustworthiness
Create systems and standards for metadata, tagging, and enrichment across large-scale datasets
Identify data anomalies, investigate root causes, and implement feedback loops to improve data fidelity
Shape operational best practices, supporting junior data partners and growing the discipline across the team

Preferred

Prior work with AI tools (e.g., LLMs) or ML infrastructure

Benefits

Competitive compensation
Strong long-term growth potential

Company

People In AI

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At People in AI, we specialize in staffing solutions for the rapidly expanding AI sector.

Funding

Current Stage
Early Stage
Company data provided by crunchbase