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Payment Lifecycle Manager

JPMorgan Chase & Co.

JPMorgan Chase & Co.

Mumbai, Maharashtra, India
Posted on Monday, June 3, 2024

Job Description

Job Summary:

You will have to perform data analysis in a 24 X 5 environment, supporting Global Core Cash Operations encompassing Asia, EMEA and WHEM regions. The candidate will have a direct reporting line into Vice President/Executive Director and will be directly responsible for Data Analyst to turn information into insight and insight into business proposals. Candidate will conduct full lifecycle activities to include requirements analysis and design, develop analysis and reporting capabilities, and continuously monitor performance and quality control plans to identify improvements.

Job Responsibilities:

  • Supporting the vice president of analytics process in developing and executing strategic plans for the analytics process
  • Overseeing day-to-day operations of the analytics team, including managing project timelines, resource allocation, and performance management
  • Collaborating with cross functional teams to ensure alignment of analytics initiatives with business objectives and priorities
  • Assisting development and implementation of data governance policies and procedures to ensure data quality and integrity
  • Providing guidance and support to analysts and data scientists in executing analytics projects and delivering actionable insights to stakeholders
  • Contributing to the development of the analytics capabilities and competencies across the organization
  • Developing and maintain best practices and standards for data management analysis and visualization
  • Managing project timelines, resources allocation and performance management to ensure timely delivery of analytics insights.
  • Providing coaching and development opportunities for team members to enhance their skills and capabilities in analytics
  • Ensuring that all work items are completed as per the agreed SLA.
  • Fostering and champion High Performance Culture where people are empowered to make decisions that affect their work/environment. Constant and regular review of all key aspects with the direct reports. Set expectations with direct reports, regarding positive motivation and serving as a role model through accountability.
  • Developing and foster a team that is responsive to dynamic organizational and operational changes. Responsible for overall Performance Management and Talent Review process.

  • Required Qualifications, Skills and Capabilities:
  • Graduate with Minimum 8 to 10 years — Financial Operations Processing experience with a higher vintage and good team management experience in similar environment.
  • Working Knowledge of SWIFT & international payment conventions & practices would be plus
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages. Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong personal computer and analytical skills. Good analytical skills and knowledge of MS Access, Excel, PowerPoint, and Word.
  • A proactive approach to problem solving, taking ownership of issues and having the determination to follow through. Escalate issues as appropriate.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Good ability to build strong business relationships within the site and across the business.
  • Experience of working / partnering with Risk, Audit and Compliance to ensure that the overall organizational objectives are met.

Preferred Qualifications, Skills and Capabilities:

  • Project Management/ Implementation experience would be a plus.
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics would be plus
  • Preferred working experience as a data analyst