Manager Fraud Analytics

Job Description

This Risk Analytics Manager role is responsible for leveraging analytics (especially advanced analytics) to uncover fraud insights and turn them into strategies for the acquiring & issuing fraud risk functions. This role demands collaboration with internal fraud risk & operations teams and clients to define strategies and implement effective rules to prevent fraud loses. The candidate will also provide thought leadership on the effective rule management to minimize the complexities around fraud monitoring tools.

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.
• Providing fraud consultancy to the clients to mitigate risks and fraud threats.
• 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.
• Analyzing large data volumes with analytical tools, e.g., SAS / 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.
  
  

• 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.
• Strong data analysis, interpretation, and data visualization skills. Strong passion for pulling your own data, performing analysis, and driving initial conclusions.
• Should have expert knowledge in SAS, SQL, R/Python & Excel VBA.
• 7+ years of work experience in fraud strategy or fraud analytics function within a financial services organization.
• 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.