The Fraud reviewer analyzes transaction data and user behavior to identify fraudulent/ high risk transactions as well as suggest improvements to business processes and systems to prevent such transactions from happening in the future.

The roles and responsibilities include the following (but not limited to) :

• Daily monitoring and review of suspicious transactions and user activity
• Generate additional insights by analyzing transaction and user behavior patterns
• Work closely with engineering and data science team to codify these insights into the existing fraud monitoring systems and business processes
• Create ad-hoc reports and dashboards to aid top management decision making

Minimum Qualifications

We are excited to welcome dynamic robust Fraud Reviewer who have:

• Bachelor’s in quantitative subject (i.e. Data Science, Statistics, Mathematics, Economics, or Engineering).
• Minimum 1 year experience as a Fraud Reviewer or Analyst in the financial sector preferably.
• Experience in Mystery Shopping and Risk Audit practice preferably.
• Strong analytical skills as well as good understanding of business processes.
• Proficiency in SQL is a must and other database management software will be a big plus.
• Proficient in Spreadsheets like MS Excel or GoogleSheets. Preferably can code in python
• Comfortable working in a dynamic and fast-paced environment.
• Effective communicator - translate technical concepts to business and easy to understand terms

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