Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers.

Job Summary

As a Client Data Analyst within our KYC/AML team, you will be 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

Understand and implement of KYC standards, guidelines, policies, and procedures.
Handle and maintain confidential client documentation.
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
Interpret 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, capabilities and skills

Bachelor s Degree or Graduate Degree.
Knowledge of KYC is essential with at least 5 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

Role: Data Analyst

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Business Intelligence & Analytics

Education

UG: Any Graduate

PG: Any Postgraduate

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