Fraud Wallet Support
Maya
Date: 1 week ago
City: Mandaluyong City
Contract type: Full time
CORE PROFILE
The Senior Analyst, Fraud Wallet Support role is responsible for overseeing fraud detection, investigation and control, analysis and reports, demonstrate critical thinking to decipher emerging fraud trends and patterns while taking accountability in conducting complex and sensitive fraud investigations, assisting and training associates on challenging cases in an effective and timely manner.
NATURE OF WORK
- Analyze complex cases and alerts escalated/detected for investigation
- Regularly evaluate applicability of data being used, profiling tools and processes to prevailing fraud schemes
- Provide recommended changes and enhancements needed to meet goals
- Carry out continuous improvement initiatives to make sure processes and tools are responsive to changing needs
- Review accuracy of investigation results and of actions taken on suspected accounts or transactions
- Submit timely fraud detection reports
- Ensure output of actions and activities are properly recorded and documented in the system for strategic analytics
- Evaluate, approves and corrects output of the team to ensure fulfillment of quantitative/qualitative goals and KRA's
- Collaborate with other teams and participate in initiatives related to fraud
DISPLAYED SKILL MASTERY
BEHAVIORAL SKILLS STACK
- Ability to make business decision within his functional level, propose improvements and manage tasks with minimal supervision
- Good display of interpersonal skills, a sense of connection and belonging
- Shows openness to new ideas and fosters organizational learning
- Ability to work in a fast-paced, entrepreneurial, results-oriented culture
TECHNICAL SKILLS STACK
- Business and Product Awareness
- Strong technical, analytical and (written and verbal) communication skills
- Excellent aptitude for research and data analysis
REQUIRED QUALIFICATIONS
- At least a year of experience in a fraud analyst/investigator field
- With operational experience in the areas of Data Mining. Profiling, Analysis and Investigation
- Preferably from the Financial Service, Banking, or technology industries
- Familiarity on investigation process specially on complex fraud cases
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