Galent · 14 hours ago
Fraud Analytics
San Francisco, CA
Full-time
Onsite
New Grad, Entry LevelGalent is seeking an Embedded Personnel to investigate flagged transactions and recommend risk threshold adjustments based on client behaviors. The role involves reviewing current fraud strategies, reducing fraud losses, minimizing cardholder impact, and strengthening system integration.
Computer Software
Hiring Manager
Ruban Alwin
Responsibilities
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
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
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.)
Map and analyze the interaction between existing tools and platforms
Qualification
Required
Investigate flagged transactions and recommend risk threshold adjustments based on Client behaviors
Work with the Client's team to provide recommendations across the Client's various fraud rules decisioning tools and systems
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
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
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.)
Map and analyze the interaction between existing tools and platforms
Company
Galent
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries.
Founded in 2024
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase