Senior Data Research Analyst

The Role:  As a Senior Research Analyst, you will play a pivotal role in ensuring the integrity and accuracy of our Fixed Income data and analytics. Working closely with Fixed Income Methodology Analysts, Product Managers, and Engineering teams, you will design and implement robust validation checks that uphold the quality of our production environments. Your strong analytical background will enable you to review production code critically, ensuring methodologies are correctly translated into system processes and that models perform effectively. You will be responsible for developing quality assurance frameworks, monitoring data health, and validating new data content and analytics to maintain high standards throughout the entire data lifecycle. Additionally, you will manage client escalations by performing detailed root cause analysis and collaborating with internal teams to resolve issues efficiently. This role requires a proactive individual with a strong understanding of Fixed Income markets, data science tools, and end-to-end data processes to help drive data accuracy, reliability, and insightful analysis.. Responsibilities: Design, develop, and maintain a comprehensive QA framework for Fixed Income data and analytics, including monitoring data processes, data completeness, accuracy, and timeliness. Consistently improve upon existing model validation and QA processes, with an eye toward automation, efficiency, and robustness. Leverage Data Science, AI, and Large Language Models (LLMs) where possible to enhance analysis and generate actionable insights. Create and implement validation strategies for new data sets and analytical outputs, integrating these checks seamlessly into production environments. Oversee the full lifecycle of vendor data—from ingestion through to analytics and insights production—to ensure all outputs meet defined quality and accuracy standards. Validate the accuracy and integrity of Fixed Income calculations, metrics, and models to ensure they align with established methodologies. Collaborate closely with Quantitative Analysts, Product Managers and Engineering teams to understand methodologies, resolve issues, and drive continuous improvements. Handle client escalations by conducting thorough root cause analysis and facilitating timely communication and resolution with relevant stakeholders. Maintain a deep understanding of Morningstar’s Fixed Income data models and infrastructure, ensuring end-to-end data quality from collection to reporting. Requirements: Education & Experience: Bachelor’s or Master’s degree in Finance, Economics, Data Science, Computer Science, or a related quantitative field. Minimum 3 years of experience as a Research Analyst, Data Analyst, or similar role within Fixed Income or Financial Services. Strong background in financial data analysis, particularly Fixed Income products and methodologies. Technical Skills: Required: Proficiency in SQL