Data Analyst

Responsibilities

• Define and execute rigorous acceptance criteria for new and evolving data products, including coverage analysis and reconciliation.
• Act as a subject-matter expert on data products, assisting Strategy Managers with vendor formats, anomalies, and documentation.
• Build and maintain an automated catalogue of datasets, including descriptions, owners, refresh cadences, and schemas.
• Systematically probe datasets to ensure high quality, stress-testing point-in-time semantics and chasing vendor corrections.
• Contribute to data quality frameworks, onboarding checklists, and comprehensive documentation like data dictionaries.
• Partner with Data Engineers on handoff contracts and Quant Researchers on analytic sanity checks.

Requirements

• 3+ years of experience working with financial data vendors and their products.
• Strong grasp of cross-asset class time series data and common onboarding challenges.
• Comfort working with complex, multi-entity datasets, including join keys and slow-changing dimensions.
• Hands-on analytical experience using Python.
• Meticulous attention to detail and a bias toward evidence-based conclusions.
• Excellent communication and collaboration skills within a fast-moving environment.

Preferred Qualifications

• Direct experience with reference and hierarchical data such as security masters and classification trees.
• Familiarity with market, fundamental, or alternative datasets used in quantitative investment workflows.
• Exposure to data quality tooling or statistical monitoring (distributions, drift, anomaly detection).
• Experience building ETL/ELT pipelines using Python.
• Practical experience using LLMs to accelerate complex data investigations.

About the Company

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies implemented systematically via thousands of securities across major liquid asset classes. We foster a collaborative and intellectually stimulating environment for professionals passionate about applying rigorous scientific methods to financial challenges.