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Top Data & Analytics Jobs in Mumbai, MH
The Senior Employee Support Analyst will support products and services within an agile team, resolve technical issues for end-users, and enhance user experience through recommendations. Responsibilities include communication of outcomes, building a knowledge base, handling production support issues, and collaborating with multiple teams to ensure efficient operations.
The Security Analyst will assess vulnerabilities in the infrastructure and applications, manage security solutions, monitor critical events, and lead security training sessions. Responsibilities include daily security operations, implementing access changes, examining adversary detection methods, and providing security advice.
The Senior Quantitative Analyst will engage in developing and enhancing quantitative models and methodologies, conduct independent research on asset allocation and portfolio optimization, utilize large datasets to build new frameworks, and participate in client discussions for understanding investor needs, enhancing Morningstar's quantitative offerings.
The Data Quality Assurance Analyst is responsible for conducting data quality checks, performing audits, and ensuring compliance in production processes. This role includes developing action plans for data reliability, analyzing issues, and collaborating with operations teams to improve quality assurance standards. Additionally, the analyst will manage audit sprints and communicate findings with stakeholders.
The Enterprise Quality Analyst role focuses on developing and implementing data quality projects, performing audits, analyzing data quality issues, and supporting quality improvement processes. The position requires collaboration with global data experts to ensure high-quality databases while maintaining effective communication and managing project timelines.
As a Structured Finance Research Analyst, you will perform quantitative and qualitative research on asset or mortgage-backed securities, contribute to industry publications and reports, analyze sector data, identify trends, and assist with special projects. The position requires strong analytical skills and attention to detail.
The Business Intelligence Data Engineer will build and maintain data technology to support advanced analytics, develop ETL processes, and enhance data modeling solutions to deliver insights for various business stakeholders. They will also work to improve quality assurance standards and communicate complex data issues effectively.
The Senior Data Scientist will design and develop AI/ML solutions, promote best practices in object-oriented designs, and ensure continuous integration. This role requires expertise in Python and data science principles, as well as experience in AWS services, with responsibilities spanning data cleaning, modeling, and deployment.
The Analyst, Credit Estimate role involves conducting credit analysis, reviewing financial documents, and supporting the team in producing credit reports. Responsibilities include developing financial models, analyzing corporate financial statements, and collaborating with onshore analytical teams. A key aspect is to maintain operational databases and ensure compliance with regulations.
The Data Content Researcher will develop and maintain data methodologies for equity and fixed income indexes, handle data acquisition and automation, perform vendor data analysis, and contribute to process improvements while offering coaching to junior members.
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