As a Risk Analyst, you will be involved in supporting the risk operations by conducting data analysis of large datasets to discover fraud trends and patterns, thereafter being involved 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. Responsibilities include:
- Handle end to end process from data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders in order for us to stay ahead of new and unknown fraud.
- Monitor any new or existing implementations and/or deployments relating to risk, keeping up to date with the latest metrics of our clients and their respective potential fraud trends and analyses.
- Timely response to alerts for any risk related escalations.
- Deep dive investigation on potential issues such as changes to clients metrics (e.g., sudden dip or spike), communicate and work with relevant stakeholders to ensure timely resolution.
- 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.
- 1 - 3 years of experience as a hands-on analyst with risk knowledge
- Minimum Bachelor's Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields
- Working experience in handling large-scale unstructured data
- Experience in using business intelligence tools such as Microsoft Excel, Tableau, and Qlik Sense
- Experience in SQL or other data handling tools a bonus
- Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud
