Risk Analyst

• Handle end to end process from data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders
• 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
• Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud

Experience in SQL or other data handling tools a bonus