Job Summary
As a Client Data Specialist within our KYC/AML team, you will play a crucial role in understanding and implementing KYC standards, guidelines, policies, and procedures. You will be responsible for handling and maintaining confidential client documentation, collecting and verifying confidential client data, and reviewing client data/processes to ensure they meet our firm-wide quality standards. This role provides you with an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for your growth and development.
Job Responsibilities
- 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)
- Compare and contrast differences within KYC records, highlight and escalate any discrepancies
- Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline
- Exhibit the highest standards of customer service to our internal and external customers (inclusive of confidentiality)
- Communicating/escalating issues to management when applicable
- Handling and maintenance of confidential client documentation
- Be flexible to work on other migration/remediation projects including Screening resolution, other LOB holistic alignment or Quality Assurance and ability to comprehend the KYC risk factors and draft the overall risk summary for the client
Required Qualifications, capabilities and skills
- Bachelor’s Degree or Graduate Degree.
- Knowledge of KYC is essential with at least 2 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