Top Software Engineer Jobs in Mumbai, MH
As an Analytics Solutions Associate - Intelligent Automation Developer at J.P. Morgan, you will partner with stakeholders to design, develop, and deploy automation solutions using Python, UI Path, Alteryx, and other tools. You will manage end-to-end projects, ensure compliance, and collaborate with various teams for successful delivery.
As a Quantitative Research Production Analyst, you will execute and deliver stress forecasting results, perform data analysis, define data models, and support strategic initiatives. You will collaborate with various teams to enhance the forecasting process and improve data flow.
Lead the engineering and delivery of data and analytics solutions, make decisions that influence team operations, collaborate with stakeholders, and champion diversity and inclusion in a Director of Software Engineering role within the Asset and Wealth Management LOB at JPMorgan Chase.
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The candidate will be responsible for building data monitoring & controls primarily for Risk Decision Engines and Third-party services within Consumer & Community Banking. Strong analytical skills, ability to engage with stakeholders, and technical knowledge of SAS, SQL, and Python are required. Responsibilities include data monitoring, reporting, post-implementation validations, and process automation.
Seeking a detail-oriented Digital Analytics Specialist with 5+ years of experience to analyze website behavior data, create measurement frameworks, and drive strategic decisions for website optimization. Responsibilities include analyzing website data, developing dashboards, tracking user interactions, and providing actionable insights. Must have advanced skills in Python, SQL, Adobe Analytics, Google Analytics, Tableau, and Alteryx.
The Client Data Associate in Exam Management team is responsible for defining and delivering on exam management strategy, addressing KYC-related requests, and ensuring compliance with regulatory requirements. This role requires strong communication skills, industry experience, and proficiency in MS Office applications, particularly Excel.
Lead a data operations team, perform deal reviews, drive efficiency in processes, build relationships with internal teams, prepare reports, analyze trends, participate in testing, and suggest improvements for better efficiency and effectiveness.
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