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Senior Manager, Credit Card Fraud Analytics
2 months ago
Brim Financial is a leading financial institution that has successfully launched a state-of-the-art digital platform and credit card product suite. We are seeking a highly skilled and experienced Senior Manager to join our growing team and contribute to the development, implementation, and monitoring of strategies to manage evolving fraud trends.
Key Responsibilities- Develop and implement strategies to manage fraud trends, taking into consideration Brim's risk appetite, customer experience, and operational impact.
- Anticipate and explain potential fraud risks associated with strategic initiatives across Brim.
- Provide deep fraud and process expertise to solve larger, fraud-driven strategic initiatives.
- Identify emerging fraud trends and develop defenses against emerging and in-market fraud trends.
- Understand and actively manage the operational impacts of our fraud defense strategies.
- Bachelor's degree in Statistics, Mathematics, Finance, Criminal Justice, Business Administration, Information Technology, Computer Science, or a related field.
- 5+ years of analytical experience, including advanced statistical analysis, ideally related to Fraud Analytics or Risk Management.
- Ability to draw and communicate key insights from data.
- Experience using analytical software tools such as SQL, Excel for data analysis, automation, and reporting.
- Advanced knowledge of fraud detection tools and technologies.
- Experience with TSYS fraud management solutions and platforms.
- Ability to communicate strategy analysis to both technical and non-technical team members.
- Strong communication skills essential with clients, vendors, and management.
- Relevant certifications such as Certified Fraud Examiner (CFE) are highly desirable.
- Experience in fraud management.
- Knowledge of fraud detection platforms.
- Understanding of Authentication, Technology & Emerging Digital capabilities.
- In-depth knowledge of Microsoft's suite of products (i.e., Word, Excel, and Power BI).
- Experience with SQL programming skills; ability to work with and analyze large sets of data.
