Forensic Software Engineer- Pinelands, Johannesburg

Job title: Forensic Software Engineer- Pinelands, Johannesburg Job Location: Gauteng, Johannesburg Deadline: December 30, 2025 Quick Recommended Links Jobs by Location Job by industries 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 18 October 2025 ICT jobs #J-18808-Ljbffr