Data Analytics Investigator

5 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia OCBC Full time
About the Role

The Fraud Prevention Manager will be responsible for developing and implementing effective fraud prevention strategies, utilizing knowledge of cyber frauds and social engineering modus operandi to mitigate risks and ensure the security of funds and assets.

This role involves collaborating with various teams to enhance internal and external intelligence networks, facilitating daily operations, and providing expert advice on fraud management and prevention strategies.

Key Responsibilities:

  • Develop and implement effective fraud prevention strategies, utilizing knowledge of cyber frauds and social engineering modus operandi to mitigate risks.
  • Collaborate with various teams to enhance internal and external intelligence networks, facilitating daily operations and providing expert advice on fraud management and prevention strategies.
  • Analyse large datasets to identify trends, patterns, and insights, using statistical methods and tools to interpret data and generate actionable insights.
  • Provide regular updates and reports to senior management and stakeholders, communicating complex data insights in a clear and concise manner.
Requirements

To succeed in this role, you will need:

  • A university degree, preferably in a field associated with statistical and/or data analytics.
  • Coding experience (SAS, SQL, Python etc) and/or formal training in SAS analytics would be highly advantageous.
  • Experience in practical fraud management or investigation with good working knowledge of cyber frauds and social engineering modus operandi will be an advantage.
  • Knowledge of the financial services industry, specifically in consumer and corporate banking.
  • Advanced or Intermediate-level knowledge in Microsoft Word, Excel, Power Point, Project Management, Power BI and other necessary applications.
  • Ability to understand, speak, read, write in English. Additional language skills are advantageous for this post but not essential.
  • Independent, resourceful and enthusiastic with a high sense of integrity.
  • Excellent verbal and written communication skills with the ability to communicate and convey complex data insights to non-technical stakeholders at all levels.
  • Detail-oriented and systematic with an analytical approach to problem-solving with good planning and execution skills.
  • Highly adaptable in an ever-changing fraud and scam environment, and resilient in intense situations demanding attention in multiple areas.
  • Ability to work independently with minimal supervision, demonstrating a proactive approach to tasks.

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