Graduate Accelerated Programme: Trainee Internal Auditor: Technology and Cy at Old Mutual Limited

Cape Town, Western Cape, South Africa -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Internal auditing, Technology risk, Cyber risk, Data analytics, Data visualization, AI model auditing, Cloud security, Governance, Technology processes, Analytical thinking, Problem solving, Communication, Financial acumen, Business insight, Automation, Strategic selling

Industry

Financial Services

Description

Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this. Job Description About Group Internal Audit’s graduate programme: Graduates choose roles that are meaningful and forward-looking, offering opportunities to develop skills that accelerate their career growth. Are you curious about how organisations really work behind the scenes? Do you want to apply what you have learned in technology, data, analytics and AI and match these to real world business challenges? Do you want to gain hands‑on exposure, work with industry experts, and build future‑ready skills? If your answer is yes, then kick‑start your career with our Group Internal Audit Graduate Programme. The successful candidate will be working in teams where, for example we: audit AI models assess Cloud security use data analytics and visualisation on our audits evaluate governance and technology processes continuously learn new technologies and how to apply our skills to these. In this exciting role you will apply the knowledge and skills you attained in your speciality in university within our setting and with our guidance. What’s in it for you? Professional exposure through continuous coaching and development opportunities Future ready roles with access to excellent learning and development opportunities Alignment to professional qualifications through a robust and structured programme Opportunities to work on cutting edge technology and cyber risk topics The chance to build a long term career aligned with your aspirations Requirements: Skills, Qualifications, Experience required: Tertiary degree in Commerce, Engineering or Science (examples include, Data Science, Information Systems, Computer Science, Engineering, Mathematics, Statistics, Actuarial, Analytics or similar) Honours or equivalent (completed by end 2026) Achieved a minimum of 65% average in the last 2 years A South African citizen Cape Town based Advantageous: Strong interest in technology, automation, analytics and AI Innovative, challenging and positive mindset Exceptional communication skills Problem solving aptitude Self-driven and accountable Able to handle change and manage ambiguity Skills Action Planning, Analytical Thinking, Application Development, Budget Management, Customer Understanding, Data Compilation, Data Controls, Data Interpretations, Developing Creative Solutions, Evaluating Information, Financial Modeling, Gap Analysis, Qualifying Prospects, Strategic Selling Competencies Builds Networks Business Insight Customer Focus Ensures Accountability Financial Acumen Interpersonal Savvy Manages Complexity Plans and Aligns Education NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent (Required) Closing Date 10 May 2026 , 23:59 The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question. The Old Mutual Story! Old Mutual is a premium African financial services organisation that offers a broad spectrum of financial solutions to retail and corporate customers across key market segments in 14 countries. The lines of business include Life and Savings, Property and Casualty, Asset Management and Banking and Lending. We are rooted in our purpose of Championing Mutually Positive Futures Every Day and believe that a great customer experience is anchored in a great employee experience.

Responsibilities

The trainee will work in teams to audit AI models, assess cloud security, and utilize data analytics to evaluate technology processes. They will apply academic knowledge to real-world business challenges while receiving guidance from industry experts.