Role Overview:

Data Analysis Support:

• Assist in analysing transactional data to identify anomalies and suspicious patterns.
• Work closely with data analysts and forensic specialists to detect irregularities that may indicate fraudulent activity.
• Develop a foundational understanding of fraud indicators and contribute to early risk detection.

Evidence Gathering:

• Support investigations by collecting and organising relevant documentation, including policy records, claim forms, correspondence, and system logs.
• Ensure all materials are complete, accurate, and well-organised to facilitate efficient case review.

Collaborative Insight Development:

• Participate in team discussions and case reviews, offering preliminary observations based on data findings.
• Learn to interpret forensic data in context and assist in developing investigative leads under guidance.

Case Documentation:

• Maintain accurate records of forensic activities using the electronic case/project management system.
• Ensure data integrity and confidentiality while adhering to internal protocols and compliance standards.

Allegation Reporting:

• Assist in preparing allegation logs and referring potential cases to the investigation team.
• Draft initial reports summarising suspicious activity, supporting evidence, and rationale for referral.

Trend Analysis and Reporting:

• Contribute to the analysis of fraud detection outcomes across cases to identify emerging trends and vulnerabilities.
• Support the preparation of internal reports and presentations highlighting key findings.

Stakeholder Engagement:

• Build foundational relationships with internal stakeholders such as claims assessors and operational teams.
• Support fraud prevention efforts by fostering collaboration and encouraging proactive reporting.

Qualifications, Skills and Experience:

Qualifications

• Matric / Grade 12 is essential
• A diploma or degree (completed or in progress) in Forensics, Analytics, Accounting, or a related field is advantageous.

Experience:

• 2 – 5 years of experience in a forensic, claims assessing, or financial services environment.
• Internship or exposure to fraud detection tools (e.g., IntellinX, QlikView) is beneficial.

Technical competencies:

• Basic understanding of forensic principles and data analysis tools (Please expand on the tools and systems that the incumbent has to have knowledge of.).
• Ability to interpret financial and transactional data.
• Key behavioural skills and attributes that would make a candidate successful in this role:
• Strong attention to detail.
• Analytical mindset.
• Willingness to learn and take ownership.
• Team-oriented and collaborative.
• Good planning and organisational skills.

Personal Capability Building

• At Old Mutual, we believe in helping our people grow. As a Detection Assistant, you will be encouraged to:
• Take part in training, coaching, and development activities to build your skills and confidence.
• Explore opportunities to gain relevant certifications or qualifications that support your career journey.
• Stay curious and informed by learning about industry trends, basic technologies, and best practices through reading, team discussions, and internal learning platforms.
• Work on improving communication and teamwork skills through collaboration and feedback.
• Embrace a mindset of continuous learning and personal growth.

What Makes This Role Exciting

• This is a great opportunity to start your career in forensic services within a leading financial services organisation. Here’s what makes it special:
• Exposure to different areas of the business and how they work together to manage risk.
• A chance to contribute to meaningful work that helps protect customers and the company.
• A supportive team environment with experienced mentors who are invested in your development.
• Opportunities to learn new tools and techniques used in fraud detection and investigations.
• A culture that values learning, collaboration, and doing the right thing.
• Flexible work arrangements through Old Mutual’s hybrid working model.

Skills

• Action Planning, Claims Management, Data Compilation, Data Controls, Executing Plans, Financial Auditing, Insurance Claims Investigations, Typology

Competencies

• Action Oriented
• Business Insight
• Collaborates
• Decision Quality
• Ensures Accountability
• Financial Acumen
• Instills Trust
• Manages Complexity

Education

• Bachelors Degree (B): Forensic Science, Matriculation Certificate (Matric)  (Required)

Closing Date

• 15 December 2025