Fraud Operations Specialist

2 weeks ago

Kuala Lumpur, Kuala Lumpur, Malaysia Shopee Full time 120,000 - 240,000 per year

Job Description

  • Achieve continuous improvements in our fraud processes and KPIs (such as fraud rates, false positives, MO defense rates, fraud savings) to achieve the optimum balance between protecting our business from loss, and in promoting growth.
  • Routinely tests effectiveness of existing rules to detect fraud and leads periodic calibration, or validates recommendation to adjust rules, and approves of such adjustments or tweaks.
  • Delve into production data to produce, maintain, and curate metrics and reports for the Fraud team to implement strategies to combat fraud.
  • Review system-generated triggers for potentially fraudulent activity on members' accounts as well as credit and debit cards.
  • Perform detailed research and investigation on alerts that are generated for potential fraud schemes.
  • Work closely with a variety of cross-functional teams to analyze suspicious activity and provide mitigation recommendations.
  • Build and maintain tools and/or processes to collect and track data and troubleshoot errors.
  • Develop and maintain processes and documentation to ensure best practices for fraud identification, escalation, and mitigation are effectively adhered to and communicated.
  • Develop, maintain, and publish periodic Key Performance Indicators (critical metrics) for the Fraud strategy.
  • Leverage data to understand fraudulent behavior, identify trends that indicate elevated risk, and report to appropriate team and management.
  • Use relational database queries and spreadsheets to quickly analyze, manipulate, and visualize small to large datasets to guide fraud and risk policy discussions.
  • Conduct research, work independently, and make complex investigation decisions.
  • Create reporting solutions (e.g. dashboards) for business leaders and Googlers, turning data into an actionable and compelling narrative with visualizations (e.g., charts, graphs, tables).

Requirements

  • Bachelor's degree in a related field or equivalent work experience.
  • 2-4 years of analytical work experience in consulting, business intelligence, analytics, or an equivalent analyst position
  • Experience in SQL and/or Python and HTML
  • Experience in FinTech or equivalent industry, particularly in a control function (e.g. Compliance, Risk or Audit)
  • Data analytics using R is an added advantage
  • Ability to make decisions and propose solutions based on data
  • Enjoy working efficiently and independently in a fast-paced, high-volume environment

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