KYC Business Analyst

Posted 22 June 2020
Salary £550 - £600 per day
LocationLondon
Job type Permanent
ReferenceBBBH104420_1592840072
Contact NameEmmy MayoJennings

Job description


Lead Business Analyst / KYC / Enterprise Reference Data / Azure DevOps / SQL / Agile

Our client a leading Financial Services organisation has a requirement for a Lead Business Analyst to join their team.

This person will be brought on to drive KYC business transformation and benefit realisation, focusing on minimum viable product delivering maximum business benefit.

Key Objectives:

  • Implement a risk-based, structured and transparent mechanism to continuously appraise and descope requirements that are not MVP
  • Be the SME for client onboarding and KYC process implementations
  • Use experience to anticipate future requirements and suggest improvements to the existing Implementations and Business processes
  • Ensure solutions are kept sufficiently generic to not drive high levels of customisation in the business: default to one-size fits all unless business justification absolutely warrants it

Key Experience / Requirements:

  • Experience of being a Senior BA in Financial Services
  • Experience of solving complex regulatory problems that meet both Compliance/Control functions requirements and business needs for simplicity, ease, etc.
  • Up to date understanding of regulations, legislation and Regulator focus to ensure constantly evolving requirements are met
  • Significant stakeholder management experience
  • Data Governance expert - client and reference data:
    • Logical data modelling
    • Building data dictionaries
    • Application of data lineage
    • Understanding of privacy laws (e.g. GDPR) and Data Retention Policies
  • Domain Knowledge
    • Knowledge of Insurance and Financial Services organisations
    • Know Your Client (KYC)
    • Anti-Money Laundering (AML)/ Financial Crime
    • Client On-Boarding / Off-Boarding processes
  • Technical Skills
    • Expert user of excel
    • Advanced SQL
    • Understanding of Data Science / analytics essential
  • Delivery Methodology
    • Agile (Kanban and Scrum)
    • Experience of DevOps highly desirable
    • Experience of acting as a Product Owner
    • Understanding of Business Analyst role within full Software Development Lifecycle