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Juelle Piper

Juelle Piper

KYC ANALYST

Accounting / Finance

North London, Islington, Greater London

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About Juelle Piper:

Dedicated KYC Analyst skilled in identifying and reporting potential fraud. Proven success in collaborating with senior management and stakeholders to improve the risk-based approach to compliance. Analytical professional with a proven record of developing and implementing risk mitigation strategies, assessing customer risk profiles ongoing due diligence, defining PEPs, and identifying suspicious activity. Experience in anti-money laundering and compliance. I have strong problem-solving and analytical skills to conduct risk assessments to interpret data to meet targets and caseload in a timely manner.

Experience

KYC Refresh Analyst                                                                                                              01/2023 to Current 

Macquarie Group Limited

  • Completed CDD and EDD on preexisting (KYC Refresh) by reviewing client documentation, vendor databases, and data entered proprietary.
  • Executed a project to work alongside Customer Identification Programs to help new refresh starters integrate and provide guidance in navigating confluence database.
  • Analysed Client data, documentation, and negative news to determine Client Risk Profile as established under the Global KYC Procedures.
  • Collaborated with the Client Lifecycle Maintenance (CLM) team worldwide on global requests.
  • Liaised with Front Office, Business Divisions, Legal and operations as necessary as part of the KYC Process.
  • Leveraged client data and available insights to improve alignment of business priorities and utilisation of resources.
  • Assessed risk information to deliver standard and ad hoc risk reporting for board, committees, and other management meetings.
  • Registered information on database to maintain accurate records of customers, tracking history and printing supporting documentation.
  • Demonstrated strong resourceful skills to help company prevent money laundering, terrorist financing and illegal financial activities.
  • Assessed new and on file account documentation to verify information and determine high-risk customers.
  • Formulated and submitted suspicious activity reports to alert management regarding doubtful customers and risks involved.
  • Evaluated policies and procedures to determine compliance and recommended improvements to processes.
  • Monitored internal and external data points to determine affecting risk level of decisions.

Business/ KYC Analyst                                                                                                           07/2022 to Current 

FDM GROUP

  • Program objective: Our simulation bank was found to have AML breaches and were fined £xxx million in 2018. 12 analysts have been called in to help remediate 30 client files from 2018-2020. There are 5 EDD high risk cases, 2 Low risk and 24 CDD files.
  • Performed assurance of the first line to ensure the “banks” activities remain within the risk appetite framework and adhere to policies (3x artificial policy guideline documents).
  • Liaised with stakeholders to ensure client identification is maintained up to date and changes in structure and beneficial ownership are properly documented.
  • Gathering and analysing KYC documentation in accordance with the AML policy to identify and assess overall risk.
  • Used publicly source databases and conducted research as part of the due diligence. Including Sanctions, PEPs, and Ownership structures.
  • Identification and escalation of issues to the senior analysts with regards to the onboarding of clients.

Education

BSc: Psychology, 2:1 Honours                                                                                                                    2021 

Middlesex University                                                                                                                               London 

Key modules include:

• Research Methods, Design and Ethics in Psychology.

• Contemporary Issues in Psychology.

• Psychological Statistics.

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