School of Business - Assoc Lecturer (Digital Business and Banking and Finance)

[What the role is]

As an Adjunct Lecturer, you will bring current industry knowledge into the classroom and help young and adult learners develop practical, workplace-relevant skills. Depending on the modules assigned, you will deliver lessons, facilitate applied learning and assess students in one of the specialisations below.

[What you will be working on]

Key Responsibilities
•    Deliver scheduled lessons and facilitate learning for Pre-Employment Training (PET) and/or Continuing Education and Training (CET) students.
•    Prepare for classes using the approved curriculum and learning resources, and adapt delivery to support learners with different needs.
•    Facilitate hands-on activities, case discussions and problem-based learning using relevant industry examples and tools.
•    Assess students' work, provide timely feedback and complete grading and related academic administration within stipulated timelines.
•    Provide consultation and learning support to students for the assigned module.
•    Contribute industry insights to the review of lesson materials, assessments or applied projects where required.
•    Comply with RP's academic, assessment and administrative requirements.
Areas of Specialisation
Candidates should be able to teach in at least one of the following areas:
1. Digital Solutions and Business Technology
•    Digital Business, AI, Automation, Data Visualisation, Business Technologies and Project Deployment.
•    Application of AI tools, workflow automation, CRM, analytics, e-commerce and low-code/no-code platforms to business problems.
•    Business needs analysis, solution design, prototyping, testing and basic technical troubleshooting.
2. Banking and Finance
•    Financial Technology, Analytics, Financial Markets, Corporate Finance, Investment Analysis, Trade Finance, Compliance, Risk Management and Sustainable Finance.
•    Application of real-world case studies, simulations and tools such as Excel, data analytics and AI applications.

[What we are looking for]

General Requirements
•    Relevant academic qualifications in Business, Banking, Finance, Economics, Data Analytics, Business Technology or a related field.
•    At least three years of relevant industry experience. Prior teaching, training or facilitation experience is advantageous.
•    Current industry knowledge and the ability to translate professional experience into practical learning.
•    A nurturing mindset and the ability to establish a strong rapport with learners.
•    Strong communication and facilitation skills, with the ability to explain concepts clearly.
•    Reliable, organised and able to meet teaching, assessment and administrative timelines.
•    Comfortable using relevant digital and educational technologies for lesson delivery.
1. Digital Solutions and Business Technology
•    Relevant experience in digital transformation, technology implementation, business analysis, product or project management, automation, CRM, e-commerce, marketing technology or data analytics.
•    Hands-on experience in deploying digital, automation or AI-enabled solutions, including workflows, prototypes or proof-of-concept solutions.
•    Able to analyse business problems, explain solution logic and troubleshoot basic issues involving workflows, configurations, data, integrations and outputs.
•    Shortlisted candidates may be asked to showcase a prior AI workflow or solution and present a short demonstration and teaching deck for a proposed one-hour lesson, including their lesson-design thought process.
2. Banking and Finance
•    Strong expertise in one or more areas: banking operations; risk, compliance and AML/KYC; financial markets, treasury or investment products; fintech, digital banking or data analytics; sustainable finance or ESG.
•    Good understanding of trends shaping the financial sector, including digitalisation, AI, regulation and sustainability.
•    Relevant professional certifications such as CFA, FRM, IBF or sustainability-related credentials are advantageous.