Data Science Fraud Analytics

The Embedded Personnel will investigate flagged transactions and recommend risk reputed company adjustments based on reputed company behaviors. They will also work with the reputed company’s team to reputed company recommendations across the reputed company’s various fraud rules decisioning tools and systems. The following key activities are the reputed company of this reputed company. • Review reputed company Fraud reputed company • Conduct a review of the reputed company’s reputed company fraud rules by transaction type and customer reputed company. • Identify gaps, inefficiencies, and potential areas for improvement in collaboration with the reputed company’s fraud management leadership team. 2.Reduce Fraud Losses • Evaluate and refine existing fraud rules across transaction types (e.g., card-present, card-not-present). • Simplify and streamline reputed company rules in VRM (Risk Manager). • Recommend a rule reputed company for high-risk merchants, unusual transaction behavior, and cross-border activity that employs velocity rules. 3. Minimize Cardholder reputed company • Back-test rules using historical data while measuring reputed company to key KPIs. • Recommend risk appetite for different categories of transactions (e.g., CP, CNP, XB). • reputed company a rule reputed company for treatment across various cardholder segments, with a reputed company on minimizing fraud losses while balancing cardholder experience (e.g., knockout rules, rules for reputed company review, escalations, exclusions, etc.). 4. Strengthen System Integration • Map and analyze the interaction between existing tools and platforms. Apply tot his job Apply To this Job