Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro location, and mid-level generalist data role create high applicant competition.
Fraud detection requires domain-specific financial crime knowledge, making cross-industry transferability limited.
Requires specific fraud detection and rule-engine expertise but no explicit years, so moderate shortlisting strictness.
Use data and analytics to detect fraudulent transactional activity and identify fraud trends to protect clients and the firm.
Develop and implement creative, data-driven solutions including rule creation, testing, and partnering with cross-functional teams to enhance fraud detection methods.
Partner with Data Science and Fraud Operations teams to develop models, manage rule strategies, measure fraud detection performance, and generate reports for management.
Bachelor's Degree or higher.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with creating and testing fraud detection rules and using statistical methods to analyze data is implied.
Must collaborate cross-functionally including with Customer Service, Product Management, Engineering/Technology, and Data Science teams.
Experienced in fraud detection or financial crime risk management with strong data analytics and rule engine expertise.
Capable of operationalizing fraud detection strategies by developing controls and managing ongoing rule strategies in partnership with fraud operations.
Able to communicate findings and strategic proposals effectively to management and stakeholders, driving fraud mitigation initiatives.