Analytics Manager

Key Skills: Saas, Fraud Analysis, SQL, Python, Vulnerabilities, Risk

Roles and Responsibilities:

• Conduct monthly rule reviews and devise strategies to minimize fraud losses.
• Lead and support projects, contributing to the design and definition of solutions.
• Develop and manage an information system to identify fraud trends and mitigate risks.
• Ensure compliance with Group Policies and Standards in all fraud risk management activities.
• Collaborate with internal and external stakeholders to enhance fraud detection systems.
• Provide training and support to team members, ensuring they are equipped to handle fraud risk management effectively.
• Analyze complex reports to provide insights for decision-making and strategy development.
• Drive enhancements for fraud risk management internal controls and collaborate with various risk and policy owners.

Skills Required:

• Strong knowledge of SaaS platforms and their role in fraud analytics (Must-Have)
• Expertise in Fraud Analysis, Vulnerability Identification, and Fraud Risk Mitigation (Must-Have)
• Proficient in Python and SQL for data analysis and fraud pattern detection (Must-Have)
• Hands-on experience with tools such as SAS and R (Nice-to-Have)
• Understanding of risk frameworks and compliance in financial fraud detection (Nice-to-Have)
• Excellent skills in data interpretation, reporting, and insight generation
• Strong project leadership, stakeholder management, and team mentoring abilities

Education: Preferred qualifications include a CFE (Certified Fraud Examiner) certification and hands-on experience with analytical tools such as SAS, Python, R, and SQL