
Fraud Analyst - National Scam Response Unit (NSRU)
- Malaysia
- Tetap
- Sepenuh masa
a. Gather data from various sources, including databases, spreadsheets, and external data sources.
b. Ensure data integrity and accuracy through data cleaning and reprocessing.Data Analysis:
c. Analyse large datasets to identify trends, patterns, and insights.
d. Use statistical methods and tools to interpret data and generate actionable insights.Data Visualization:
e. Create visual representations of data to communicate findings clearly and effectively.
f. Develop dashboards and reports for stakeholders to facilitate data-driven decision-making.Reporting:
g. Prepare detailed reports summarizing analysis results, trends, and recommendations.
h. Present findings to management or stakeholders in a clear and concise manner.Educational and Experience Background
- 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.
- Have 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.
- Must be able to understand, speak, read, write in the primary languages used in the workplace. 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.