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Job Description
Structured overview of role & requirementsAbout This Role
Lead and coordinate a team handling data collection, tagging, documentation, validation, and quality assurance for proprietary and vendor research data across trading, research, and tech teams.
Own data quality standards, review team outputs, and personally tackle high-complexity, ambiguous data problems to model rigorous data handling.
Serve as primary contact to align team output with business needs, prioritize projects, and collaborate with data engineers to automate workflows while maintaining human oversight.
Minimum Requirements
7+ years of hands-on data experience in financial industry settings like trading firms, hedge funds, banks, or vendors.
3+ years leading complex projects and managing analyst teams.
Proficiency in Python, SQL, and Excel for data analysis; direct experience in collecting, tagging, and cleaning trading-related data preferred.
Experience with alternative, fundamental, market, or reference data and expertise in at least one asset class such as equities, options, futures, ETFs, or FX.
Ideal Candidate Profile
Experienced in senior data roles within trading firms or similar environments focused on proprietary and alternative financial data.
Capable of managing competing priorities with clear communication to technical and non-technical stakeholders and enforcing high-quality data standards.
Proficient user of modern AI tools (LLMs, agents, coding assistants) to enhance data research workflows and analyses.
