Job Summary
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.
Requirements
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
Qualification
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).