Description
- Participate in creating risk metrics, building dashboards by data visualization tools to monitor & identify abnormal user activities, app usage and fraudulent attempts (e.g., promotion abuse, card payment fraud, account take over, etc.);
- Do exploratory data analysis to deep-dive into cases of suspicious abuse or fraud (e.g., app & device info, installation and registration behavior, payment transaction details, etc.) and abnormal activities to find out fraudster or abuser behaviors;
- Work closely with Risk Strategy team, Data Science team, Product team on analyzing and tracking impact & effectiveness of risk rules/policies/products/solutions (coverage, false-positive, drop-off rate of challenge) and propose actionable insights & plans to enhance them;
- Follow up the efficiency of your recommendations & adapt to different conditions;
- Work closely with Risk Data Platform team to ensure accurate and high-quality data is collected and analyzed on a consistent basis;
- Support to establish & develop post-mortem analysis and reporting for multiple aspects of Risk management including but not limited to promo campaigns, payment, wallet risks
Requirement
- Ability to think critically, analyze and solve problems with a strong attention to detail;
- Being able to understand and represent business and user needs, distilling insights to set strong road map that meet short and long-term needs;
- Good organizational and communication skills;
- Experience in SQL and NoSQL query (e.g., MySQL, MongoDB); master in Python or Excel is a plus.
- Experience in BI tools (e.g., Tableau) and big data computation (i.e., by using computation engine such as Spark) is a plus.
- Ability to work well in a fast-paced environment;
- Ability to manage multiple tasks and deadlines.