Data Science Fraud Analytics
The Embedded Personnel will investigate flagged transactions and recommend risk threshold adjustments based on Client behaviors. They will also work with the Client’s team to provide recommendations across the Client’s various fraud rules decisioning tools and systems.
The following key activities are the focus of this workstream.
• Review Current Fraud Strategy
• Conduct a review of the Client’s current fraud rules by transaction type and customer segment.
• Identify gaps, inefficiencies, and potential areas for improvement in collaboration with the Client’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 complex rules in VRM (Risk Manager).
• Recommend a rule strategy for high-risk merchants, unusual transaction behavior, and cross-border activity that employs velocity rules.
3. Minimize Cardholder Impact
• Back-test rules using historical data while measuring impact to key KPIs.
• Recommend risk appetite for different categories of transactions (e.g., CP, CNP, XB).
• Develop a rule framework for treatment across various cardholder segments, with a focus on minimizing fraud losses while balancing cardholder experience (e.g., knockout rules, rules for manual review, escalations, exclusions, etc.).
4. Strengthen System Integration
• Map and analyze the interaction between existing tools and platforms.
Apply Now
Apply Now
The following key activities are the focus of this workstream.
• Review Current Fraud Strategy
• Conduct a review of the Client’s current fraud rules by transaction type and customer segment.
• Identify gaps, inefficiencies, and potential areas for improvement in collaboration with the Client’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 complex rules in VRM (Risk Manager).
• Recommend a rule strategy for high-risk merchants, unusual transaction behavior, and cross-border activity that employs velocity rules.
3. Minimize Cardholder Impact
• Back-test rules using historical data while measuring impact to key KPIs.
• Recommend risk appetite for different categories of transactions (e.g., CP, CNP, XB).
• Develop a rule framework for treatment across various cardholder segments, with a focus on minimizing fraud losses while balancing cardholder experience (e.g., knockout rules, rules for manual review, escalations, exclusions, etc.).
4. Strengthen System Integration
• Map and analyze the interaction between existing tools and platforms.
Apply Now
Apply Now