Espace Recruteurs
OCBC Bank

Data Analyst, Group Data Office

OCBC Bank
Singapour
Mise en ligne il y a 14 jours CDI Competitive
Data Analyst, Group Data Office
Overall Job Purpose:
  • Provide expertise to analyze, recommend, develop and implement data drive solutions to uplift overall Corporate Banking Compliance AML risk surveillance capabilities.
  • Analyze data to research and enhance Customer Due Diligence (CDD) review process through the linkages and ascertaining predictive risk attributes exhibited by customers.
  • Collaborating with the relevant stakeholders in understanding the various data points and systems internally and externally for the purpose of identifying, testing, fine-tuning and defining the patterns within data and developing appropriate risk detection statistical models.
  • Identifying new emerging risks and applying appropriate strategies and techniques to mitigate.
  • Provide thought leadership to Corporate Banking Compliance team so they can visualize how data led techniques - such as machine learning - could significantly change the way that Compliance Operates.
  • Improve effectiveness and efficiency of compliance monitoring activities and processes leveraging on data analytics capabilities.
  • Surveillance to detect and validate suspicious transactions for escalation.
  • Documentation of workflows and develop regular reports on outputs, metrics measurements and any trend/linkages.
  • Be the GDO AML expert on regulatory and compliance related data matters.
  • Ensuring that progress of projects is well managed with timely communication to the relevant stakeholders.
  • Support any other ad-hoc system/digital improvement related projects assigned


Qualifications
Requirements (Knowledge, Skills & Competencies):
General Knowledge & Experience:
  • Be updated on industry risk surveillance trends and capabilities for application consideration within Corporate Banking Compliance
  • Previous data analytics experience in Risk Surveillance and/or Audit capacity covering at least 2 or more (AML/Sales/Operations/Fraud) categories preferred.
  • Demonstrated Forward thinking approach and initiatives in risk management via data analytics
Programming & Data:
  • Exposure to database or analytical marketing functions.
  • Some prior exposure to analytical software tools of leading analytical software tools (such as Python/SAS/R); leading database environments (Oracle / Teradata / Hadoop / SQL); reporting tools (Power BI/Qlikview / Tableau).
  • Ability to analyse, identify, visualize and describe key trends within large datasets
  • Machine learning, statistical modeling, visualization
Communication & Soft Skills:
  • Good team player
  • Good written and oral communication skills and ability to interact effectively with people at different levels
  • Positive and progressive behavioral traits
*LI-WS

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