Forensic Software Engineer at Old Mutual South Africa

Job Description

• The Forensic Software Engineer plays a pivotal role in enabling Group Forensic Services (GFS) to proactively manage fraud risk and conduct complex investigations.
• This role is responsible for designing, developing, and maintaining cutting-edge forensic technology solutions that integrate digital forensics, cyber-fraud detection, and advanced analytics.

Key Result Areas

Solutions Development and Maintenance

• Design, develop, and maintain forensic technology solutions that support GFS’s mandate.
• Integrate digital forensics and cyber-fraud detection capabilities into existing systems to enhance investigative effectiveness.
• Collaborate with cross-functional teams to align forensic solutions with business processes and risk management strategies.
• Development, Support, and Management of Forensic Solutions
• Build scalable and secure applications that support fraud investigations and risk analytics.
• Incorporate Regulatory Technology (RegTech) and surveillance tools to support compliance and proactive risk identification.
• Ensure solutions are adaptable to evolving threats and regulatory requirements.
• Integration of Business Processes with Forensic Services
• Partner with business units to embed forensic capabilities into operational workflows.
• Promote cross-functional collaboration to ensure seamless integration of fraud detection and prevention mechanisms.

Automation

• Lead the automation and productionizing of forensic processes using tools like SSIS, AWS, and RPA.
• Implement Robotic Process Automation (RPA) to streamline evidence collection, reporting, and repetitive investigative tasks.
• Optimization and Maintenance of Complex AWS and SSIS Processes
• Maintain and optimize cloud-based data pipelines and ETL frameworks.
• Ensure high availability, performance, and security of forensic data systems.

Artificial Intelligence

• Collaborate with Data Scientists to implement AI-driven detection models for fraud and behavioural risk.
• Use machine learning to identify anomalies, patterns, and predictive indicators of misconduct.

Data Management

• Design and manage centralized evidence repositories and data lakes to support investigations and analytics.
• Ensure data governance, integrity, and accessibility across forensic platforms.
• Create Easily Understandable Technical Documentation
• Maintain up-to-date documentation for all forensic systems and processes.
• Ensure documentation supports knowledge transfer and compliance audits.
• Manage Relationships with Business, Infrastructure, and Application Support Teams
• Foster strong partnerships across IT and business units to support forensic initiatives.
• Promote a shared understanding of fraud risk and investigative priorities.

Assist in Managing Fraud Risk

• Support proactive fraud risk management through data analysis, system development, and behavioural insights.
• Contribute to initiatives focused on culture and behavioural risk, using analytics to inform ethical decision-making.
• Provide Ad Hoc Administrative, Data Analysis, Project Management and/or Development Support
• Offer flexible support across GFS projects, including analytics, reporting, and solution development.
• Champion talent evolution and multidisciplinary skills by contributing to team learning and innovation.
• Qualifications & Professional Affiliations
• A Bachelor’s degree or Diploma in Information Technology, Information Systems or Computer Science or other relevant field

Experience

• Minimum 3-5 years’ experience in enterprise IT environments
• Proven knowledge and experience working with AWS / AMS.
• Experience working in Financial Services would be advantageous
• Experience in Forensic Services would be beneficial

Technical Competencies:

Knowledge and experience in any / all the following would be an advantage:

• Programming experience in C#, VB.NET or Python,
• SQL coding, troubleshooting, data validations and cleansing (SQL 2012 / SQL 2014),
• Experience in MS SQL Stack – SSIS / SSAS / SSRS,
• SSIS experience including the ability to ingest and output DB (SQL, Oracle), XML, csv, JSON and other flat file types,
• Solid Microsoft SQL warehouse experience,
• Azure Devops or GIT Source Control experience,
• Creating bat files, PowerShell scripts and BCP,
• Knowledge of front-end technologies, including HTML, CSS, and JavaScript.
• Familiarity with one or more programming languages (e.g., JavaScript, Python, Ruby).
• Basic understanding of web application development and associated frameworks.
• Ability to work with databases, both relational and NoSQL, and write basic SQL queries.
• Strong problem-solving and debugging skills.

Competencies

Personal Capability Building

• As part of Old Mutual’s commitment to continuous learning and professional excellence, the incumbent is expected to:
• Proactively develop personal capabilities through formal and informal training, coaching, and participation in development planning activities.
• Pursue and maintain relevant external professional accreditations to enhance performance and fulfil personal potential.
• Stay abreast of emerging technologies, regulatory changes, and industry best practices through ongoing education, attending conferences, and engaging with specialist media.
• Excellent communication and teamwork skills.
• Passion for learning and staying up to date with industry trends and technologies

What Makes This Role Exciting

• This role offers a unique opportunity to contribute to a high-impact forensic function within a leading financial services group. Key benefits include:
• Exposure to diverse business areas across the insurance and financial services landscape.
• Opportunities to influence strategic decisions through impactful forensic insights and technology-driven solutions.
• A culture that values continuous learning, innovation, and professional development.
• Access to cutting-edge forensic tools, data analytics platforms, and AI-driven technologies.
• A supportive team environment with strong leadership, mentorship, and cross-functional collaboration.

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
• Financial Acumen
• Instills Trust
• Manages Complexity
• Optimizes Work Processes

Education

• NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Closing Date

• 13 September 2025