Trust and Safety
team at ZaloPay gather highly motivated team players who dedicate in building ZaloPay as the most trusted financial service and best against bad factors in Vietnam fintech market. By developing and implementing advanced tech- driven risk prevention solutions while also focusing on user growth and customer experience, the goal is to make risk management a core competency and key differentiation of ZaloPay relative to its competitors. This helps our business grow sustainably and provide affordable services to all Vietnamese people.
As a Risk Data Analyst, you will have opportunities to:
Wide up your knowledge in Risk management area of Fintech/ E- commerce industry;
Explore and analyze large amount of data sets taken from the real business ZaloPay product;
Work with our experts and get knowledge or deep insights (e.g., market, trends, user behaviors, etc.) from other components of Fintech area (e.g., business intelligence, data analysis, tech, product, etc.);
Be involved in Fintech business with ZaloPay- expected to be one of the leading e- payment products in Vietnam;
Join & be challenged in many parts of Risk data product/solution development, operation and optimization, to build customer trust from good users and best platform against to fraudsters
Job 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.);
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
Work closely with Risk Data Platform team to ensure accurate and high- quality data is collected and analyzed on a consistent basis;
Follow up the efficiency of your recommendations & adapt to different conditions;
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, Risk 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;
