Senior Fraud Associate

Maya


Date: 4 hours ago
City: Mandaluyong City
Contract type: Full time

CORE PROFILE

The Senior Fraud Associate role is responsible for overseeing fraud detection 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

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