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Top Data & Analytics Jobs in Mumbai, MH
The role involves collaborating with project managers, data analysts, and developers to build technology solutions for Morningstar’s Equity Data collection platforms. Responsibilities include defining automation strategy, developing automation testing frameworks, and mentoring other QAs. Candidates should have 4-6 years of experience in automation QA and proficiency in relevant programming languages and testing tools.
The Data Scientist at PitchBook will leverage machine learning and cloud technologies to research private markets and improve platform navigability. Key responsibilities include data analysis, model development, and optimization, along with enhancing decision-making through insights derived from data.
The Machine Learning Engineer will develop features and services using Python to apply NLP and ML for data analysis, enabling better insights into private markets. Responsibilities include collaborating with other teams, analyzing unstructured data, and staying current with industry advancements in data science and machine learning.
The Senior Data Analyst will source, validate, and maintain market data and corporate actions for Morningstar Indexes. Responsibilities include ensuring data quality for index development, managing client-specific requirements, and driving process improvements. The role requires a good understanding of market data and excellent Excel skills.
The Senior Machine Learning Engineer at PitchBook will utilize machine learning and NLP to analyze large volumes of data, extract insights, and improve search capabilities on the PitchBook Platform. They will also mentor junior team members and collaborate with various stakeholders to automate data processes and enhance overall data management.
As a Lead Quantitative Analyst, you will manage a team of Quant Analysts to enhance data analysis processes, develop technical infrastructures for fintech solutions, and provide technical guidance. Responsibilities include mentoring team members, managing priorities, and collaborating on data transformation and application development.
The Engineering Manager will lead AI and ML initiatives focused on data collection, ensuring high standards in reliability and performance of data systems. Key responsibilities include mentoring engineers, managing complex challenges, overseeing the lifecycle of AI/ML data systems, and collaborating with cross-departmental teams to support global initiatives.
As a Quantitative Analyst on the New Product Development Team, you will engage in the full development cycle of investment indexes, including ideation, design, and implementation. The role requires collaboration with various research teams, development of portfolio tools, and publication of supporting materials such as white papers and presentations.
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