Make your mark in a fast-paced operations team where your accuracy, ownership, and collaboration help clients onboard and maintain critical services.

As a Reference Data Analyst within the Static Services team (Cash, Trade, Receivables & Trade), you deliver timely and accurate client onboarding and maintenance across multiple platforms. As a Reference Data Analyst within the Static Services team (Cash, Trade, Receivables & Trade), you partner with internal teams to investigate exceptions, resolve queries, and ensure strong controls are followed. As a Reference Data Analyst within the Static Services team (Cash, Trade, Receivables & Trade), you contribute to a collaborative, inclusive environment focused on continuous improvement and consistently meeting service commitments.

Prioritize and coordinate day-to-day workflow requests from implementation partners and internal departments.
Apply required controls to ensure work is completed within established timeframes and quality standards.
Communicate with lines of business and internal clients by phone or email, including senior stakeholders when needed.
Produce management information reports with accurate and complete data.




Coach and guide other team members through training and education on team procedures and job functions.
Hold a graduate degree.
Bring 5+ years of experience in reference data.
Communicate clearly with internal clients via telephone and email, including senior stakeholders.
Use robust analytical skills to investigate exceptions and validate data accuracy and completeness.
Leverage Microsoft Access, Excel, PowerPoint, and Word to support reporting and operational tasks.
Work with minimal supervision and show initiative to identify tasks and drive them to completion.
Build working knowledge of international payment processing operations.
Apply working knowledge of SWIFT and international payment conventions and practices.
Utilize low-code automation tools (for example, Alteryx, UiPath, Pega), SQL queries, or Python for process improvement.
Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.

📌 Data analyst - sql python (Mumbai)
🏢 JP Morgan Chase
📍 Mumbai