Manager, Fraud Analytics

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Requirements:

• 3+ years of experience in fraud management, data analytics, and model/rule building, preferably in ticketing or financial services.
• 2+ years of people management experience preferred.
• Bachelor's degree or higher (7+ years of relevant experience can substitute educational requirements).
• Strong understanding of payment systems like credit cards and eWallets.
• Experience with fraud vendors like Sift, Accertify, etc. is preferred.
• Proficiency with spreadsheets (Excel, Google Sheets) and analytical tools (Python, R, SQL, SAS).
• Strong analytical and problem-solving skills.
• Ability to make data-driven decisions and communicate findings effectively.
• Ability to prioritize projects based on various factors.

Responsibilities:

• Regularly monitor KPIs and metrics related to fraud trends, present findings and recommendations.
• Design and implement strategies to improve KPIs.
• Propose and drive projects to address fraud issues.
• Define best practices for change management.
• Manage fraud risk controls in partnership with other teams.
• Balance multiple responsibilities in fraud prevention.
• Offer data-driven insights to agents.
• Manage fraud vendors and their model performance.
• Collaborate with internal data teams for reporting needs.
• Oversee a team of analysts, ensuring their engagement and career growth.