Payment Lifecycle Analyst - Cash Asset Management

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Commercial & Investment Bank

This role focuses on data analysis, automation, and process improvement within the payment lifecycle operations at JPMorgan Chase. The analyst will collaborate with various teams to ensure data accuracy, enhance operational efficiency, and support system enhancements. While there's a mention of interest in AI/ML, it's not a core requirement or focus of the role.

What you'd actually do

  1. Anticipate client needs, prioritize tasks, and deliver a consistently high-quality service experience.
  2. Develop trust with clients, internal and external partners; build professional presence and exhibit strong stakeholder management.
  3. Work with the cross functional team, Operations Leads and Service Owners to achieve organizational objectives.
  4. Collect, collate, and analyze data sets from multiple sources to support business needs.
  5. Support automation and technology enhancements to improve productivity and controls.

Skills

Required

  • Effective communication and partnership skills with internal and external stakeholders
  • Strong organizational skills and attention to detail
  • Ability to work collaboratively in a global, cross-functional team environment
  • Strong data analysis skills and proficiency in Advanced Excel, including complex formulas, pivot tables, data analysis, and automation using macros or VBA
  • Identify operational/reputational risk early and escalate appropriately with the right controls and approvals
  • Interest in leveraging data to drive operational efficiency and innovation
  • Bachelors degree

Nice to have

  • Experience with Business Intelligence tool (e.g., Alteryx, Power BI, Tableau etc.)
  • Knowledge of banking functions, finance, or operations environments
  • Exposure to automation, process improvement, or project management
  • Exposure to machine learning, artificial intelligence, or integrating data solutions into business applications

What the JD emphasized

  • Advanced Excel, including complex formulas, pivot tables, data analysis, and automation using macros or VBA
  • Identify operational/reputational risk early and escalate appropriately with the right controls and approvals