| Category |
Assignment |
Subject |
Education |
| University |
FIJI National University |
Module Title |
BNK503 Role of a Professional Teller |
Instructions
You'll need to prepare a professional policy brief addressing one of the two questions provided below. The brief should be written for a decision-making audience within a commercial bank in Fiji, such as the executive management team, the compliance committee, or the marketing division. The objective is to develop evidence-based, realistic, and strategic recommendations that reflect current banking challenges and opportunities in the Fijian context.
Choose One of The Following Questions:
Question 1: Money Laundering
As a compliance officer in a commercial bank in Fiji, you have been asked to prepare a policy brief for the bank's Board Compliance Committee. Your task is to assess the increasing risk of money laundering in the Fijian banking sector and recommend stronger internal controls and strategies that align with regulatory requirements.
Your policy brief should address:
- Key methods through which money laundering occurs in Fiji's banking sector:
- Evaluation of the Financial Transactions Reporting Act and other Anti-Money Laundering (AML) regulations in Fiji
- Analysis of risks specific to commercial banks
- Review of trends in suspicious activity reporting over the past 5-10 years
- Internal policy recommendations for improved AML practices
Question 2: Cross-Selling
As a marketing strategist in a commercial bank in Fiji, prepare a policy brief to present to the senior management team on how to improve cross-selling strategies to boost customer satisfaction, retention, and overall profitability, while maintaining transparency and ethical standards.
Your policy brief should address:
- The role of cross-selling in commercial banking
- Trends in customer behaviour, product uptake, and relationship banking over the past 5-10 years
- Common challenges faced by banks in Fiji
- How digital tools and Customer Relationship Management (CRM) systems can enhance cross-selling
- Ethical and practical recommendations for responsible cross-selling initiatives
Format Requirements:
- Length: Maximum 6 pages (excluding references)
- Font and Spacing: Times New Roman, 12 pt, 1.5 spacing
- Referencing: APA or Harvard style
- Headings should include: Executive Summary, Introduction, Problem Statement,
- Analysis, Policy Recommendations, Economic and Social Impact, Conclusion, References
Suggested Structure
- Executive Summary (1 paragraph) → page
- Introduction (1-2 paragraphs) to % page
- Problem Statement (2-3 paragraphs) → % to 1 page
- Analysis of Causes and Risk Factors (2-3 paragraphs) → % to 1 page
- Policy Recommendations (3-4 recommendations, 1-2 sentences each) → page.
- Economic and Social Impact Analysis (2-3 paragraphs) → % to 1 page.
- Conclusion (1-2 paragraphs) → 1⁄2 page
Your policy brief must be supported by 5-10 years of relevant data, including local or international trends, industry reports, regulatory updates, or financial performance indicators.
NOTE:
- Students are required to do this assignment in groups (up to a maximum of five members per group -fewer than 5 is acceptable, but not more than 5).
- Provide a complete reference list, which should be prepared in accordance with one of the internationally accepted referencing standards.
- Submit a soft copy of your assignment on MOODLE. A Turnitin facility will be provided on Moodle for preliminary plagiarism checking as well as final project submission. A maximum similarity index of 30% is allowed. Only one member of the group will be submitting the assignment online (the same person who does the preliminary upload must also complete the final submission).
- The assessment criteria sheet is provided separately to guide your work. Please do not attach it to your final submission.
- It should be typed in Times New Roman, font size 12, with 1.5 line spacing.
- The project is due on MOODLE at 11:59 PM, 25th May 2025. No further extensions will be provided.
- AI-generated projects will not be accepted. Any work found to be predominantly generated by artificial intelligence tools will be considered academic misconduct and may result in disciplinary action.
