As a Quantitative Analyst at Morningstar in Vashi, Navi Mumbai, you will be part of the Morningstar Indexes Team, a group that specializes in creating innovative investment solutions using expertise in equity research, manager research, asset allocation, and portfolio construction. Morningstar Indexes offers a wide range of global equity, bond, commodity, and asset allocation indexes to empower investors in achieving their financial goals. Your primary responsibility will be to manage Morningstar indexes across different asset classes, enhance index methodologies, and provide research and analytics support to clients. You will play a crucial role in maintaining the Equity Universe, managing corporate events, ensuring accurate calculation of index levels, and communicating effectively with internal and external stakeholders regarding index methodologies and issue resolution. To excel in this role, you should hold a Bachelors or Masters degree in Engineering, Finance, Economics, or Management, and have at least 4 years of relevant work experience. Progress towards CFA certification is mandatory, along with proficiency in MS Office, SQL, and Python. Strong written and verbal communication skills are essential, as well as the ability to collaborate with global teams and deliver quality outcomes within tight deadlines. A passion for innovation and a commitment to Morningstar's core values are key attributes we are looking for in potential candidates. Morningstar provides an equal opportunity work environment and offers a hybrid work model that allows for remote work along with in-person collaboration on a regular basis. This setup ensures flexibility and access to tools and resources for effective engagement with global colleagues. Join us at Morningstar and be part of a dynamic team that values innovation, collaboration, and a commitment to excellence in the financial industry.,
Role Overview: You will lead the development of an automated test framework for financial data pipelines using PySpark/Python and AWS services (e.g., Glue, Athena, EMR, Redshift). Your responsibilities will include writing test cases based on product requirements, executing them, and reporting any issues. Additionally, you will automate data validation for financial data sets, ensuring data consistency and correctness across distributed systems. You will collaborate with data analysts, portfolio managers, and quant researchers to define test requirements and ensure data quality in financial data sets. Furthermore, you will optimize test processes, create reports and frameworks for efficiency, and integrate new tools and best practices for cloud-based systems. Key Responsibilities: - Lead the development of an automated test framework for financial data pipelines using PySpark/Python and AWS services. - Write test cases based on product requirements, execute them, and report issues. - Automate data validation for financial data sets to ensure data consistency and correctness across distributed systems. - Collaborate with various teams to define test requirements and ensure data quality in financial data sets. - Optimize test processes, create reports, and frameworks for efficiency in cloud-based systems. Qualifications Required: - Bachelors or MBA/Masters degree in a quantitative, financial discipline, or engineering. - 3 years of hands-on experience in QA automation with a focus on data-driven financial solutions, preferably in an AWS environment. - Strong knowledge of testing frameworks for API and data-driven test automation. - Hands-on experience with integrating test automation into Code Pipeline or cloud-based CI/CD systems. - Proficiency in SQL and MS Excel for working with large financial datasets. - Experience in performance testing and load testing for large financial data applications. - Strong proficiency in Python with extensive experience using PySpark. - Expertise in AWS services including S3, Glue, EMR for designing and automating testing for financial data systems in the cloud. - Basic understanding of financial data analysis workflows and key financial metrics. - Experience with AWS CDK, CloudFormation, or Terraform for infrastructure automation. - Excellent problem-solving skills and communication skills. - Highly motivated, pro-active, and passionate about continuous learning.,