Payment Lifecycle Associate Ii- Cash Asset Management

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

This role focuses on enhancing payment operations by streamlining processes, implementing new technologies, and managing payment processing. It involves data management, automation, and ensuring data quality and security within financial systems. While AI/ML proficiency is mentioned for problem-solving, the core responsibilities are centered around operational efficiency and data handling in a fintech environment.

What you'd actually do

  1. Create and maintain complete and quality firmwide nostro repository. Carry out associated processes to ensure data quality of the account records within Atlas are up to standards.
  2. Assist in implementing data solutions and processes that drive automation and unlock the value of registry and reference data for stakeholders across the organization.
  3. Contribute to the development and maintenance of data, analytics, and visualization capabilities, helping to advance the key operational and risk objectives of the Registry Service.
  4. Help integrate and manage data from multiple sources, ensuring data quality, consistency, and accessibility within the Atlas platform.
  5. Collaborate with cross-functional teams, including technology, operations, and finance to deliver data products and solutions.

Skills

Required

  • Commitment to building and promoting a client, customer, or stakeholder-centered capability and contribute to a culture of improvement.
  • Effective written and verbal communication skills, able to engage with team members and stakeholders.
  • Strong analytical skills, with the ability to source, analyze, and visualize data sets for actionable outcomes.
  • Ability to work collaboratively with internal and cross-functional teams to influence accountability and outcomes.
  • Translate business requirements into actionable data solutions and insights for stakeholders.
  • Adept in quickly assessing severity, client impact, and urgency to determine when and how to escalate.
  • Project Management – execution-focused and risk-aware, a problem solver who can articulate clear and workable solutions.

Nice to have

  • Experience with data and analytics platforms (such as Alteryx/ Tableau/ Pega/ UI Path/ QlikSense/ Instabase/ DataBricks or equivalent)
  • Knowledge of data governance, security, and compliance best practices in financial services or similar regulated industries.
  • Experience in SQL, DB Management, reference data, finance, or operations environments.
  • Exposure to machine learning, artificial intelligence, or integrating data solutions into business applications.

What the JD emphasized

  • AI/ML will be utilized to solve complex problems