Job Description
As part of the Fraud Prevention Tactics team, you will work on deciding the fraud prevention strategy for each industry. The objective will be to optimize the decision of which payments we have to reject and make decisions that continue to improve the user experience, keeping in mind the chargeback and conversion rate targets.
Identifying fraud patterns by continuous data analysis & review of previous fraud. Developing efficient rules that balance reducing fraud and maintaining the conversion rate. Collaborating with the data science team to improve and create new features and machine learning model rules while setting the appropriate thresholds for transactional scoring systems. Analyzing new databases to enhance the quality and relevance of available data. Being responsible for the KPIs of key clients and major industries, considering their unique needs and requests. You'll also meet with their fraud teams to deliver the best solutions.
About DLocal
DLocal enables companies to collect payments in 40 countries in emerging markets, helping global brands increase conversion rates and simplify payment expansion.