Description
We are seeking a Lead Data Research Analyst to build and lead a high-calibre data research and quality function supporting quantitative trading, research and trading teams.
This is a hands-on leadership role in a fast-paced, technical environment. You will be responsible for ensuring the accuracy, completeness and quality of critical financial datasets used across trading strategies and research workflows, with a particular focus on ETFs, options, indices and other high-frequency trading-related data.
You will work closely with traders, quantitative researchers, data engineers and technology teams to identify data issues, improve datasets and establish scalable processes for data validation, remediation and ongoing quality control.
Key Responsibilities
- Build, lead and develop a Data Research Analyst team, including hiring, coaching, performance management and career development.
- Own the quality, integrity and usability of critical proprietary and market datasets used by trading and research teams.
- Investigate, clean and remediate data issues across large and complex financial datasets.
- Partner with traders, researchers, data engineers and technology teams to understand data requirements and resolve data-quality issues quickly.
- Establish and improve processes for data validation, reconciliation, exception management and root-cause analysis.
- Monitor data quality across multiple asset classes and datasets, identifying recurring issues and driving long-term fixes.
- Work with large data pipelines and complex source systems, including vendor and exchange data.
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Operate effectively across global time zones, coordinating with international trading, research and technology teams.
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Provide clear, timely communication during time-sensitive data issues impacting trading or research workflows.
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Develop documentation, standards and best practices for data research, quality assurance and issue resolution.
Required Skills
- Significant experience in a technical data, research or analytics environment within financial markets, trading, hedge funds, proprietary trading or a comparable high-performance setting.
- Strong domain knowledge across ETFs, options, indices and related financial market data.
- Experience working with high-frequency trading-related data, market data, reference data, corporate actions, contracts or similar complex datasets.
- Experience with large-scale data pipelines and financial data platforms; exposure to fintech data environments is highly desirable.
- Strong analytical and problem-solving skills, with the ability to investigate complex data issues and identify root causes.
- Hands-on experience cleaning, validating and improving large, messy or inconsistent datasets.
Apply Today
Thank you for your interest in this opportunity. Please complete the form below and upload any relevant documents. A member of our team will review your application and be in touch soon.