Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation
Job Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Strengthen the bank’s fraud‑risk ecosystem by driving governance excellence, enhancing control rigor, and ensuring adherence to critical risk management standards.
Partner across functions to uphold operational resilience, maintain quality documentation, and advance the overall fraud‑risk governance framework.
Matching Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Skills & Requirements
Must-have
Data analytics and machine learning techniques
Statistical and machine learning models
Predictive models
Operational risk, fraud-risk frameworks
Issue management, control assurance
Cross-functional stakeholders collaboration
Nice-to-have
Influence decision making
Lead a team
Develop others
Fraud Strategy, Risk Management
Strong communication, coordination skills
Digital and technology capabilities
Key Requirements
Assistant Vice President level experience
Experience in issue management, control assurance, or risk event governance
Proficiency in using governance tools / systems
Experience in Fraud Strategy, Risk Management, Compliance, or Operational Risk
Working knowledge of RICM, controls assurance, and ORAC processes