Fraud Analytics Manager

Job Description

Responsibilities

• Develops and implements effective fraud detection and prevention strategies to mitigate fraud losses while ensuring an appropriate balance between risk, operational cost, and customer experience.
• Maximize potential data sources to use in building fraud defenses and ensure data integrity and analytical quality across key reports and rules.
• Supports the testing and deployment of newly onboarded clients. Develops business cases for incorporating new technologies.
• Develop and reviews strategy/rule performance reports and communicates the fraud results to the clients.
• Implementing the fraud strategies in fraud platforms/tools.
• Analyzing large data volumes with analytical tools, e.g., R / Python.
• Ability to communicate with the technical development team. Some knowledge/experience in software development will be useful since there are several systems that this role will oversee.
• Interact and manage client expectations and issues in cooperation with other team members
• Converts data from different sources into meaningful business intelligence to enhance decisions and financial performance.
• Performs ad hoc analyses as requested by the senior management.

Qualifications

• Masters or bachelor’s in technology/Statistics/Mathematics.
• Experience in tools like Falcon FM, SAS FM, FICO Blaze, MasterCard Brighterion, MasterCard DI and VRM is preferred.
• 7+ years of work experience in fraud strategy or fraud analytics function within a financial services organization.
• Strong data analysis, interpretation, and data visualization skills. Strong passion for pulling your own data, performing analysis, and driving initial conclusions.
• Knowledge of Fraud Risk systems and controls and their operating environments
• Experience preparing presentations for management and clients that present insights clearly and efficiently.
• Experience writing complex queries to efficiently extract and manipulate large amounts of data.
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously.
• Ability to interact effectively at all levels and influence internal and external business partners.
• Should have expert knowledge in SAS, SQL, R/Python & Excel VBA.