Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy
Job Summary
Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
Ownership and management of fraud rules, scores, and detection strategies Analysis of customer data and transactional data to identify emerging fraud trends, develop, and improve fraud strategies.
Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis, and implement mitigation strategies.
Matching Summary
Leverage analytics to identify enhancement opportunities and more granular insights that can be acted upon, while ensuring adherence to Fraud Policy.
Skills & Requirements
Must-have
SAS
SQL
data analysis tools and methodologies
fraud policy adherence
customer and transactional data analysis
fraud rules and detection strategies
Nice-to-have
R
Python
advanced visualization techniques
stakeholder management
mentoring junior team members
Key Requirements
Minimum 6+ years of hands-on analytical experience
Minimum 4+ years’ experience in statistical analysis
Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field
Hands on experience in data visualization tools, such as Tableau