Senior Data Research Analyst

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity; Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work environment

Four days in-office per week

Job summary

Morningstar India Private Ltd. seeks a Senior Research Analyst to design and implement robust QA checks for Fixed Income data and analytics, ensuring accuracy from data ingestion to reporting.

You will review production code, validate methodologies, and monitor data health across the data lifecycle. The role requires 3+ years in fixed income data analysis, proficiency in SQL, and experience with Python or R for validation and QA automation.

Qualifications

• 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.

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.

Skills

SQL

Python

R

Data analysis

Fixed Income knowledge

Education

Bachelor’s or Master’s degree in Finance or related field

Tools

Python or R

Job description

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

Technical Skills: Preferred

• Proficiency in coding and reviewing production-level code in at least one statistical modeling language (Python or R) for validation and quality assurance purposes.
• Experience developing QA frameworks for large datasets and complex analytics.
• Familiarity with data validation techniques, anomaly detection, and root cause analysis.
• Knowledge of data science, AI, and LLM tools for data insights and anomaly detection.
• Understanding of data lineage, data infrastructure, and end-to-end data pipeline management.
• Hands-on experience with vendor data integration and quality monitoring.
• Strong understanding of Fixed Income market instruments, calculations, and metrics.
• Ability to interpret and ensure methodologies are correctly implemented in code and production environments.
• Familiarity with Morningstar data models and their end-to-end lifecycle is a plus.

Morningstar is an equal opportunity employer.

Benefits and Hybrid Work Arrangements

• Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.
• In most of our locations, our hybrid work model is four days in-office each week.
• A range of other benefits are also available to enhance flexibility as needs change.
• No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

I10_MstarIndiaPvtLtd Morningstar India Private Ltd. (Delhi) Legal Entity

Morningstar is a global independent investment research and financial data company.

Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success.

Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.