AI Trainer - Finance

We are looking for a passionate and industry‑experienced AI Trainer for Finance to deliver engaging, applied training programmes for adult learners. The ideal candidate brings together strong finance expertise, hands‑on use of AI tools, and excellent adult facilitation skills.

Key Responsibilities

• Deliver WSQ and competency‑based training in finance, business analytics, and AI‑enabled financial applications
• Facilitate both in‑person and online training sessions using learner‑centred methodologies
• Apply real‑world finance scenarios, case studies, and hands‑on activities to enhance learner outcomes
• Guide learners in the practical use of AI tools for finance applications, ensuring relevance, accuracy, and compliance
• Support learner engagement, assessment, and achievement of course learning outcomes

Teaching Experience

• Minimum 2–5 years of experience in adult education or finance‑related training
• Proven track record in delivering WSQ or competency‑based programmes
• Experience conducting classroom and virtual training
• Demonstrated ability to engage adult learners and achieve positive course feedback and satisfaction ratings

Industry Expertise

• Minimum 3–5 years of professional experience in finance, accounting, or business analytics

• Strong understanding of finance processes such as:

  • Procurement
  • Reconciliation
  • Financial reporting
  • Financial analysis

• Practical experience using AI tools such as ChatGPT, Microsoft Copilot, DeepSeek, or similar tools for:

  • Process automation
  • Financial insights
  • Productivity improvement

• Ability to assess and validate AI‑generated outputs, with awareness of:

  • Data quality
  • Accuracy and reliability
  • Compliance and governance considerations

Qualifications

Mandatory:

• Bachelor’s or Master’s degree in Finance, Accounting, Business Analytics, or a related discipline
• ACTA or ACLP certification

Advantageous:

• Professional finance credentials (e.g. CPA, CFA)
• Certifications in AI, data analytics, or digital finance
• Recognised credentials in data analytics, prompt engineering, or AI‑enabled financial modelling
• Evidence of ongoing professional development in digital transformation and emerging finance technologies