• Proactively identify fraud-risk related issues at the strategic and operational level and provide analytical/modeling solutions.
• Leverage customer data and transactional unstructured data to build risk segmentation and mitigation strategies.
• Identify gaps and build necessary reporting to track the effectiveness of fraud strategy and decision tools.
• Work in tight collaboration with technology and customer service teams to ensure business effectiveness of risk & fraud strategy.
• Improve standards and promote innovative thinking / initiatives in relation to Fraud Risk Management.
• Work closely with business managers to understand the business, identify risk issues, and promote solutions to manage relevant fraudulant risks.
• Build and continuously develop close relationships with business stakeholders for fraud risk management.

• Working knowledge of MS Word and intermediate/advanced Excel (V-lookup, Pivot Table, and Macro) is required.
• Expertise in statistical tools such as SAS, R and/or SPSS or related.
• Experience in data manipulation languages such as SQL, Python preferred.
• Should have managed a team of 2-3 members at the least.
• Highly skilled in dealing with financial and numeric data.
• The ability to work with/manage virtual teams.
• Prior experience working within various payment gateways

• Bachelors/ Master degree in Statistics, Economics, Finance, Mathematics, or a related quantitative field (Mandatory).
• Minimum 5+ years of data mining experience preferably in a risk management context (Experience in fraud is a must).
• Minimum 1 year Travel Agency, Hospitality or Airline experience (Preferred).

Edarabia