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JPMorgan Client Data Analyst 
India, Telangana, Hyderabad 
184195608

06.07.2024

Job Summary

As a Client Data Analyst within our KYC/AML team, you will be an team member contributor responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development.

Job Responsibilities

  • This will be an team member contributor role and you would need an Understanding, implementation of KYC standards, guidelines, policies, and procedures.
  • Handle and maintain confidential client documentation.
  • Collection and verification of confidential client data via publicly available and internal sources
  • Understand the firm’s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD),
  • Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD)
  • Review of client data/processes to meet firm wide quality standards
  • Interpreting alerts and communicating to management when applicable
  • Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline.

Required Qualifications, Skills and Capabilities

  • Bachelor’s Degree or Graduate Degree.
  • Knowledge of KYC is essential with at least 4 years’ experience (Audit, Control, Risk, AML, and Research may also be areas of experience)
  • Strong research, analytical and comprehension skills, with ability to analyze large amounts of data
  • Client focused with great customer engagement skills
  • Experience in adhering to controls and compliance standards
  • Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment