Data Analyst
Core
Sourcing, validating, and scaling differentiated datasets to improve security selection and deepen understanding of company-specific and industry-level inflections for a public equities investment team.
Role type
Quantamental data analyst (alternative data & fundamental research)
Builds
Differentiated datasets, signal testing workflows, and actionable investment views
Domain
Public equities investment, alternative data, fundamental research
Required skills
Python, SQL, data ingestion, data cleaning, signal testing, backtesting, hypothesis testing, financial statement analysis, web scraping, entity resolution, API integration, time-series analysis, statistical testing
Preferred skills
Large-scale data analysis, operating metrics knowledge, personal investing experience, market obsession
Technologies
Python, SQL, AI agents, automation tools
Responsibilities
Build and maintain workflows to ingest, clean, map, and analyze large-scale structured and unstructured datasets; Evaluate alternative data for relevance, integrity, coverage, timeliness, and predictive power; Conduct signal testing and backtesting to determine dataset value; Work with investment team to turn raw data into actionable views on revenue trends, KPIs, and inflection points; Use AI agents and automation to accelerate research and tool-building; Support basic 3-statement modeling and connect data findings to fundamental underwriting