Fraud Unit Head

Job Description:

1. Lead and Develop a Team: Manage and lead a team of fraud analysts, investigators, and other professionals.
2. Provide Guidance and Support: Offer guidance, support, and mentorship to team members to enhance their skills and knowledge in fraud prevention and detection.
3. Collaborate with Cross-Functional Teams: Work closely with other departments, such as IT, legal, and finance, to develop a cohesive approach to fraud prevention.
4. Effective Communication: Communicate effectively with both internal and external stakeholders, conveying the importance of fraud prevention and fostering a culture of awareness.
5. Lead Investigations: Oversee the investigation of suspected fraudulent activities, ensuring thorough and timely resolution.
6. Implement Advanced Analytics: Integrate advanced analytics and machine learning algorithms to analyze large datasets for patterns indicative of fraudulent activities.
7. Utilize Predictive Modeling: Develop system technology and deploy predictive models to forecast potential fraud risks and take proactive measures.
8. Implement Countermeasures: Develop and implement countermeasures based on investigation findings to prevent future occurrences.
9. Develop Fraud Prevention Strategies: Formulate and implement strategies to proactively prevent and mitigate fraudulent activities.
10. Align with Organizational Goals: Ensure that fraud prevention strategies align with the overall goals and objectives of the organization.
11. Educate Employees: Provide comprehensive training to employees on fraud risks and prevention measures.
12. Promote a Culture of Awareness: Foster a culture of awareness and vigilance to encourage employees to actively participate in fraud prevention efforts.
    
    

Requirement

Knowledge:

1. In-depth knowledge of the industry in which the organization operates, including understanding common fraud schemes and risks specific to that industry.
2. Familiarity with relevant laws, regulations, and compliance requirements related to fraud, privacy, and data protection.
3. Familiarity with fraud detection tools, data analytics software, and other relevant technologies. The ability to leverage technology for proactive fraud prevention is crucial.
4. Understanding of cybersecurity, IT security, and knowledge of technologies used in fraud prevention(i.e : machine learning and artificial intelligence)
5. Knowledge of various fraud detection techniques and algorithms to design effective fraud detection tools.

Technical

1. Python or JavaScript
2. Understanding of anomaly detection methods and their application in fraud detection.
3. Strong ethical judgment and integrity, as fraud managers often deal with sensitive information and investigations.

Non Technical

1. Strong investigative skills
2. Strong analytical and critical-thinking
3. Ability to conduct thorough risk assessments to identify vulnerabilities and assess potential fraud risks.
4. Proficiency in data analysis tools and techniques to identify patterns and anomalies in large datasets.
5. Excellent verbal and written communication skills
6. Ability to effectively manage and lead the team during crisis situations, including the implementation of incident response plans.
7. Effective problem-solving skills
8. Project management skills
9. Skill in developing and delivering training programs

Added Value

1. Fraud Prevention and Detection Certifications: Certifications such as Certified Fraud Examiner (CFE) or Certified Information Systems Security Professional (CISSP) with a focus on fraud can be beneficial.
2. Programming Certifications (Optional): Depending on the programming languages used, certifications in Python (e.g., Python Institute's PCAP) or JavaScript could enhance qualifications.