Audit Senior (CaseWare) (BBS866)

Hire Overseas

5d•Remote

About The Position

We're looking for an Audit Senior (CaseWare) to run audits end to end in CaseWare on a simulated portfolio of small and medium clients, from planning through to the signed auditor's report. Your work becomes the training data and workflow designs that a cutting-edge AI audit system learns from. This is a long-term, permanent role working directly with the founding team and an AI partner at the frontier of AI development in audit. The work here goes beyond standard audit execution. You will carry each engagement from planning to close-out to a professional standard, but you will also document the steps, decisions, and judgments behind your work so an AI system can learn from them. That means designing and testing the workflows the AI follows, not just producing the outputs. If you have at least three years of external audit experience, hands-on CaseWare Working Papers proficiency, and a genuine interest in making audit work teachable to a machine, this role is a strong fit.

Requirements

BCom in Accounting with a completed or near-completed SAICA or SAIPA training contract
At least 3 years of external audit experience including running engagements end to end
Hands-on CaseWare Working Papers experience including file setup, TB import, roll-forward, mapping, working papers, and review sign-off — this is a hard requirement
Working knowledge of ISAs, IFRS for SMEs, the Companies Act, and IRBA requirements
Strong Excel skills for sampling, reconciliations, and lead schedules
Clear written English for request lists, review notes, and client emails
Strong interest in AI and in breaking audit work into clear, teachable steps
Comfortable working with AI models as part of the audit process and able to check and challenge what they produce

Nice To Haves

Experience auditing non-profit companies or community associations
Exposure to Pastel, Sage, or Xero client systems
Experience drafting AFS in CaseWare
Progress toward CA(SA) or RA registration

Responsibilities

Planning: Set up the CaseWare file, import the trial balance, and roll forward prior-year balances. Test opening balances against the prior-year signed AFS and resolve any differences. Hold and document the discussion with those charged with governance. Assess risks including fraud risk, and set overall, performance, and clearly trivial materiality. Write the audit plan and get it approved.
Fieldwork: Send one consolidated request list after planning and track every outstanding item to closure. Select samples using the firm's sampling method and document the basis for each. Test revenue, expenses, payroll, receivables, bank, VAT, fixed assets, provisions, and journals against supporting evidence. Record results and a conclusion on every working paper, not just the selection. Handle requests to simulated client management and bookkeepers to obtain records.
Adjustments, Completion, and Review: Propose adjusting journals, agree them with the client, and finalise the trial balance. Complete going concern, subsequent events, and evaluation of misstatements. Obtain the signed management representation letter. Clear AI partner review notes promptly and evidence sign-off in CaseWare.
Reporting and Close-Out: Prepare the draft auditor's report and coordinate the AFS with the preparation team. Manage director approval and AI partner sign-off, meeting the client's AGM or filing deadline. Send the final signed pack, final trial balance, and adjusting journals to the client and bookkeeper. Lock and archive the file within the firm's assembly deadline.
Portfolio and AI Workflow Management: Manage progress and budgets across your simulated client portfolio. Record time accurately against each engagement. Run each simulated audit to a professional standard so it serves as high-quality training data. Record the steps, decisions, and judgments behind your work in a way that can be taught to an AI model. Design and refine the audit workflows the AI follows, stage by stage. Test the AI against your own work, identify where it goes wrong, and help fix it. Use AI models day to day to draft working papers, review samples and evidence, and check your own work, and apply sound judgment about when their output is correct.