Compliance of remittance sector to the legal obligations under the anti-money laundering regulations in United Kingdom, Canada, and Malaysia / Siti Saidah Nafisah Omar
Bibliographic record
Abstract
Money services business (MSB) consists of remittances companies and money changer sector which produce an enormous of remittance flows based on large population of legal and illegal migra nts in Malaysia. The remittance system is categorised as one channel to transfer the funds around the world. Such system is often used by the migrant workers through the traditional banking method, MSB or underground banking system (Hawala). However, criminals tend to using remittance channel to launder their illicit gains and profit as the money can move quickly in a cheap cost. Since 2007 the remittance sector include as a reporting institution in Malaysia need to adhere statutory obligations imposed such as record keeping, due diligence, reporting suspicious transaction and compliance program within company. This study aims at scrutinizing the legal obligations by remittance sector to the statutory obligation imposed to them and the obstructions arising out of such duties. The central thesis of this research emphasized on three issues which are firstly, the low level of compliance by the remittance sector mainly through discharging their responsibilities to protect themselves rather than complying with regulation to prevent money laundering. Secondly, the vulnerabilities of the remittance systems itself lead to a weaknesses where too stringent regulations, the remittance sector grinds to a halt. On the contrary, too lax regulatory framework would make the criminals run wilds. Thirdly, there is a dire need to cover up the weaknesses or loopholes in Money Services Business Act 2011 (MSBA 2011) in fighting money-laundering crime by using remittance channel. Employing a qualitative research, the empirical evidence from the six multiple case studies in Malaysia is notably reported in Chapter Five, evidently the reality of the issue of the extent of compliance by the remittance sector in Malaysia. Whilst the doctrinal analysis emphasis on the Anti-Money Laundering, Anti-Terrorism Financing and Proceeds of Unlawful Activities Act (AMLATFPUAA) 2001 and MSBA 2011, the legal comparison with the law in United Kingdom and Canada for benchmarking, comparative analysis and lessons to be learnt. At the theoretical level, this research analyse how the self-protecting theory and responsive regulation theory could assist for further research within the industry in line with the reason of non-compliance by the remittance sector. The framework guided by this thesis was discovered and the recommended approach was developed to contribute to knowledge and practices for remittance industry in Malaysia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".