Senior Fraud Analytics Manager

1 week ago


Mandaluyong City, National Capital Region, Philippines Maya Full time

As the Senior Fraud Analytics Manager

You will play a pivotal role in leading a team dedicated to detecting, analyzing, and preventing fraudulent activities within our organization. Leveraging your expertise in data analytics and strategic vision, you will drive the development and implementation of innovative fraud detection solutions, ensuring the security and integrity of our systems and processes.

Key Responsibilities:
  1. Leadership and Strategy:

Provide strategic direction and leadership for the fraud analytics team, defining goals, priorities, and initiatives to advance our fraud detection capabilities. Foster a culture of collaboration, innovation, and continuous improvement within the team.

Data Analysis and Interpretation:

Oversee the analysis of large datasets to identify patterns, trends, and anomalies indicative of fraudulent behavior. Utilize advanced statistical methods and machine learning algorithms to extract actionable insights from data.

Model Development and Implementation:

Lead the design, development, and optimization of fraud detection models and algorithms using sophisticated analytical methodologies. Collaborate closely with cross-functional teams to ensure seamless deployment and integration of models into production environments.

Risk Assessment and Mitigation:

Conduct comprehensive risk assessments to identify potential fraud threats across various business domains. Develop and implement proactive measures and controls to mitigate fraud risks and strengthen fraud prevention capabilities.

Performance Monitoring and Optimization:

Establish mechanisms for monitoring the performance of fraud detection models and algorithms, driving continuous improvement efforts. Conduct thorough evaluations to assess the effectiveness of fraud prevention strategies and drive enhancements as needed.

Reporting and Communication:

Prepare and present comprehensive reports, presentations, and dashboards to communicate findings, insights, and recommendations to senior management and stakeholders. Foster effective communication and collaboration with internal teams to ensure alignment and understanding of fraud prevention initiatives.

Compliance and Regulatory:

Stay abreast of industry trends, regulatory guidelines, and emerging threats related to fraud detection and prevention. Ensure compliance with applicable laws, regulations, and standards governing fraud prevention activities.

Team Management and Development:

Mentor and develop team members, providing guidance, support, and opportunities for growth. Foster a high-performance culture and empower team members to excel in their roles.

Additional Responsibilities:

Fulfill any other duties or responsibilities as may be assigned by senior management to support the organization's goals and objectives.

Qualifications:

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field. Advanced degree preferred. Extensive experience (7 years) in fraud analytics, risk management, or a related field, with demonstrated leadership and strategic decision-making capabilities. Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc. Strong understanding of statistical techniques, machine learning algorithms, and predictive modeling. Excellent communication and presentation skills, with the ability to effectively convey complex concepts to diverse audiences. Strong analytical mindset and problem-solving skills, with a focus on driving results and delivering business value. Knowledge of fraud detection technologies, tools, and industry best practices is highly desirable.


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