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Business Analyst - Aml

0-1 years
Not Disclosed
12 June 13, 2024
Job Description
Job Type: Full Time Education: B.Com / B.Tech/ B.E./ M.Com/ B.Sc / MBA / M.Tech/ M.E./ M.Sc/ BBA/ BA/ Any Graduate Skills: Python, Communication Skills, Power Bi, Numpy Pandas, Sql, Data Analysis

About the job

Capture needs of business owners and create BRD, Functional, and Technical specifications and validate the final developed product/application to make sure all business needs and technical requirements are fulfilled.
 

  • Performs Data Analysis to gather and identify the underlying data required to fulfill business requirements/application scope.

  • Develop epics, storyboards, and user stories with stakeholders

  • Collaborate with development team for new product/application development

  • Creates functional and non functional test plans and writes test cases covering various scenarios.

  • Coordinate between multiple scrum teams working on the common product backlog within the department

  • Drive transformation of connectivity between legacy systems and design new cleaner pipes to reduce overhead Domain : Anti Money Laundering Roles:

  • As a Business Analyst, act as a liaison between business, QA and technology team.

  • Capture needs of business owners and create BRD, Functional, and Technical specifications and validate the final developed product/application to make sure all business needs and technical requirements are fulfilled.

  • Performs Data Analysis to gather and identify the underlying data required to fulfill business requirements/application scope.

  • Develop epics, storyboards, and user stories with stakeholders

  • Collaborate with development team for new product/application development

  • Creates functional and non functional test plans and writes test cases covering various scenarios.

  • Coordinate between multiple scrum teams working on the common product backlog within the department

  • Drive transformation of connectivity between legacy systems and design new cleaner pipes to reduce overhead Design a practical and effective data rationalization methodology to reduce redundancy of variables across different sources

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