Senior Data Analyst (Risk)

 As a Senior Data Analyst (Risk), you will be involved in supporting the risk operations by retrieving meaningful and relevant information from large databases, conducting data analysis to discover fraud trends and patterns. Thereafter, helping in designing long-term solutions to fight fraud. The insights you provide will contribute towards optimizing risk management strategies and creating business value by enabling trust for our clients.

1. Handle end to end process from retrieving data, data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders in order for us to stay ahead of new and unknown fraud. 
2. Utilize statistical tools to identify areas of potential fraud risk and/or potential areas of improvements to current fraud detection mechanisms. 
3. Collect, validate, and clean data from various sources to ensure data accuracy and reliability. 
4. Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis in complex and large dataset such as device metadata, user data, payment data – and coming up with proposals to address them and preventing future occurrence. 
5. Improve and maintain dashboards to provide visibility of key metrics and fraud patterns for relevant stakeholders.