Fraud Analysis & Reporting Manager - Global Security

Fraud Analysis And Reporting Manager

The Global Security (GS) division is responsible for safeguarding the firm's employees and assets worldwide. This includes developing security policies, ensuring compliance, managing security operations, and conducting fraud investigations and cyber security measures.

As a Fraud Analysis and Reporting Manager within the Global Security Investigations Fraud Analytics and Investigative Technologies Team (FAIT), you will be a key team member contributor. Your role will encompass the provision of innovative solutions for fraud prevention, detection, and investigations, utilizing advanced analytics and automated solutions.

Job Responsibilities

• Manage the development and enhancement of systems supporting investigations.
• Create and manage reports to support investigations and analytics.
• Develop complex business requirements and processes with investigative groups.
• Ensure usability of investigative tools through design evaluation.
• Oversee testing requirements, including test script creation and execution.
• Act as the primary contact for User Acceptance Testing and production issues.
• Provide status reports to internal customers and management.
• Develop ad-hoc reports and data extracts.
• Analyze fraud data to identify patterns and trends, and provide actionable insights.
• Collaborate with GS investigations and business lines to mitigate fraud risks and brief senior management on analysis results and fraud trends.
• Evaluate and recommend alternative solutions for fraud prevention and ensure systems have appropriate controls in collaboration with Oversight & Control teams.

Required Qualifications, Capabilities and Skills

• Minimum of 5 years in analytics and reporting.
• Proficiency in tools like Alteryx, Tableau, Business Objects, Snowflake, and Databricks.
• Experience in writing specifications, UAT testing, and issue resolution.
• Ability to manage multiple projects and interface between clients and development teams.
• Strong data mining and analysis skills.
• Excellent problem-solving and analytical abilities.
• Broad knowledge of fraud, risk, controls, and data privacy.
• Strong interpersonal, presentation, and communication skills

Preferred Qualifications, Capabilities and Skills

• Bachelor's degree in Information Systems, Finance, Information Management, Statistics, or Mathematics preferred.
• Certifications in Business Analysis, Project Management, or Data Science are a plus.
• Project Management experience is a plus