Fraud Analyst (Issuing)
Maya
Date: 1 week ago
City: Mandaluyong City
Contract type: Full time
CORE PROFILE
This role is responsible for overseeing fraud detection and control, analysis and reports, demonstrate critical thinking to decipher emerging fraud trends and patterns.
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 subordinates to ensure fulfillment of quantitative/qualitative goals and KRA's.
- Familiarity in SQL and Python.
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.
- Critical thinker with a high sense of urgency and accountability.
TECHNICAL SKILLS STACK
- Business and Product Awareness.
- Strong technical, analytical and (written and verbal) communication skills.
- Excellent aptitude for research and data analysis.
- Methodical approach with high attention to detail and ability to work independently and as part of a team.
- Ability to identify, analyze and assess risks.
REQUIRED QUALIFICATIONS
- At least 2-3yrs of experience in a fraud analyst/investigator field.
- Graduate of any Bachelor's Degree.
- With operational experience in the areas of Data Mining, Profiling, Analysis and Investigation.
- Preferably from the Financial Service, Banking, or technology industries.
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