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Compliance Manager

Negotiable Salary

Transfermate

Hong Kong

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TransferMate– a subsidiary of CluneTech – was established in 2010 when we began working with regulators around the world to secure licenses to operate as a global payment’s provider. With a global payments network covering 200+ countries and territories, TransferMate have established partnerships with some of the largest banks, fintechs and software providers in the world. The combination of our regulated network, award winning technology and strategic partnerships culminated in 2022 when the business achieved Unicorn status. Our team is dedicated to delivering the best possible experience for our partners and their customers. We know that a happy team is one that performs at the highest level and our #OneTeam ethos encourages mutual support, respect, recognition, and rewards. In Ireland, we have been recognised as a Great Place to Work for 9 consecutive years, with 35 offices worldwide, we do business across 100+ countries on a daily basis.   The Compliance Manager supports TransferMate’s (TM) Compliance framework within APAC to ensure adherence to all regulatory and legal requirements together with TM’s internal policies and procedures. This role involves liaising with partners and clients and their respective compliance teams, overseeing local due diligence, anti-money laundering (AML), counter-terrorism financing (CTF), and governance frameworks while fostering a culture of ethical decision-making and operational integrity. As Compliance Manager, you will be responsible for: 1. Partner Communication Communicate confidently with local partners, clients, and financial institutions. Translate or interpret compliance requirements where necessary, and ensure clear communication between global teams and local stakeholders. Draft or review bilingual compliance materials when required. 2. Local Due Diligence Oversee the onboarding of clients and partners located in Hong Kong and China and ongoing KYC/AML reviews. Provide Management Information (MI) to ensure onboarding meets SLA’s whilst remaining compliant and risk focused. . Ensure compliance with sanctions and global reporting standards. 3. Compliance Leadership: Support the Head of AML in regards to the organisation’s compliance strategy. Ensure policies and procedures comply with local, regional, and international regulations. Act as the primary liaison with regulatory authorities and manage audits, inspections, and inquiries within the APAC region 4.. Counterparty Risk Management: Assess and monitor the financial, reputational, and legal risks associated with counterparties (e.g., clients, vendors, and partners) within the APAC region Establish robust due diligence processes to evaluate counterparty risk profiles before and during engagements. Lead the implementation of systems to monitor changes in counterparty creditworthiness and compliance adherence. 5. Downstream Risk Oversight: Analyze and address risks arising from third-party relationships and extended payment chains. Oversee risk assessment frameworks to track potential exposure to sanctions, money laundering, or reputational damage within the APAC region. Develop downstream risk mitigation strategies, including contractual safeguards and ongoing monitoring tools. 6. Policy Development and Training: Create and enforce compliance policies and risk management protocols tailored to institutional needs. Conduct regular training sessions for staff on compliance obligations, risks, and best practices. Build awareness of emerging regulatory trends and risk indicators. 7. Governance and Reporting: Oversee reporting mechanisms to identify, escalate, and resolve compliance and risk issues. Report directly to the Head of AML  on compliance status, risks, and key trends, communicate with local partners, clients, and financial institutions. Support the Head of AML in regards to the organisation’s compliance strategy. Collaborate with internal and external stakeholders to maintain transparency and alignment with organizational goals Requirements 5+ years of experience in compliance, risk management, or legal advisory roles within financial institutions, inclusive of Correspondent Banking/Corporate Cash/Fintechs. Proven expertise in counterparty risk and downstream risk frameworks. Extensive knowledge of global regulatory requirements, AML standards, and financial laws. Bachelor’s or Master’s degree in Law, Finance, Business Administration, or a related field or equivalent experience.  Professional certifications (e.g., CAMS, CCEP, ICA, or similar compliance credentials). Strong analytical and decision-making skills with a focus on risk mitigation. Exceptional communication abilities to influence across all levels of the organisation. Fluency in English and Mandarin (spoken and written) is required. Cantonese is highly desirable. Technical proficiency in compliance monitoring systems and data analytics tools. Benefits Competitive annual leave and additional days per length of service Remote working and flexible working hours Maternity and paternity leave Compassionate leave TransferMate is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We are committed to building and maintaining a culture which is free from discrimination and harassment and where all employees can bring their best selves to work.

Source:  workable View Original Post

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Hong Kong
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Negotiable Salary
晶晶香港分公司
Hk Recruitment Old Post LAsincerely invites you to join. To provide you with better service, we hope you can spare 1 valuable minute to fill out the questionnaire below, so we can better understand your needs.
Wangjiao Wet Market
58 Daojia sincerely invites you to join. To provide you with better service, we hope you can spare a precious minute to fill out the questionnaire below, so we can better understand your needs. Author: Duan Xiaocao Link: https://www.zhihu.com/question/1936601885311239615/answer/1936983438256244569 Source: Zhihu Copyright belongs to the author. For commercial use, please contact the author for authorization; for non-commercial use, please credit the source. Review: GPT-5 returns to the top, but it is not the AGI everyone expected. The most important points first: 1. Accessibility: The barrier to cutting-edge intelligence has been lowered again. All users can access GPT-5, and even free users can experience it to a limited extent (beyond the limit, it will downgrade to GPT-5-mini). Sam Altman has fulfilled his promise from February, lowering the barrier to experiencing cutting-edge intelligence—this deserves respect. The rumor circulating yesterday that GPT-5 would cost $200 has been confirmed as fake news. 2. Pricing: Lower than previous GPT/o generations, closely competing with Gemini 2.5 Offers three API variants: GPT-5, mini, and nano (gpt-5-pro has no API), priced as follows: GPT-5: $1.25 per million input tokens, $10 per million output tokens GPT-5 Mini: $0.25 per million input tokens, $2.00 per million output tokens GPT-5 Nano: $0.05 per million input tokens, $0.40 per million output tokens Frankly, this pricing is highly competitive—lower than GPT-4.1/GPT-4o, on par with Gemini 2.5, lower than Claude Sonnet 4, and far below Claude Opus 4. This means that GPT-5, while matching Gemini 2.5 in price, shifts the current model's "Pareto frontier" upward. 3. Performance: Returns to SOTA, but without "epoch-making" advantages On LMArena, GPT-5 achieved first place in all categories and overall rankings: GPT-5 reclaimed the top spot from Gemini 2.5 Pro: However, the lead isn't large enough—Gemini 3! Gemini 3! Gemini 3! Moreover, GPT-5’s core this time is fusion and built-in routing, with internal model relationships as shown in the diagram: 4. Revealing the true identity of previously anonymous models The "summit" on LMArena is GPT-5 "Horizon" on OpenRouter is part of the GPT-5 family (though it's still unclear whether it's GPT-5 or mini) Practical testing. Not yet available in ChatGPT, currently conducting side-by-side tests on LMArena (vs Gemini 2.5 Pro). Generate an SVG of a pelican riding a bicycle GPT-5 (essentially consistent with the previous Horizon test, arguably the best among current models): Gemini 2.5 Pro (seems a bit too fat): Draw a Pikachu playing basketball GPT-5 (features mostly accurate): Gemini 2.5 Pro (expressive, but...): Code generation capability. On https://gpt-examples.com/, there are many official prompts and programming examples: Take one prompt at random and compare with Claude. This is GPT-5's example: This is Claude Sonnet 4's result: All necessary features are present, though the blue-purple gradient clearly indicates Claude; GPT-5's page elements might be more appealing: API. In addition to showcasing example prompts and outputs as above, making it easy for users to copy and test directly, OpenAI has specifically written documentation for using GPT-5. Variants and best use cases: gpt-5: Complex reasoning, broad world knowledge, and code-intensive or multi-step agent tasks gpt-5-mini: Cost-optimized inference and chat; balances speed, cost, and capability gpt-5-nano: High-throughput tasks, especially simple instruction following or classification New features and parameters in the API: The reasoning.effort parameter controls the number of reasoning tokens generated by the model before producing a response. Early reasoning models like o3 only supported low, medium, and high: - low prioritizes response speed and fewer tokens - high emphasizes more comprehensive reasoning The new minimal setting generates very few reasoning tokens in scenarios requiring the fastest time-to-first-token. Compared to generating none, allowing the model to produce minimal tokens when necessary typically results in better performance. Default is medium. from openai import OpenAI client = OpenAI() response = client.responses.create( model="gpt-5", input="How much gold would it take to coat the Statue of Liberty in a 1mm layer?", reasoning={ "effort": "minimal" } ) print(response) ARC-AGI-2 released GPT-5's results, which did not surpass Grok 4's score, ranking second: Today's live demo had multiple issues: two diagrams were incorrect (the published blog is fine, but the presentation wasn't reviewed—very unprofessional), and one demo case was criticized for violating physical laws. First error: Correct diagram: Second error (left: 50 < 47.4): Correct diagram: Third error, regarding the airplane wing lift demo: In summary: GPT-5's overall capability is indeed currently the strongest, and considering accessibility and cost-effectiveness, it can be said to be the most usable model today, but the extent of its advantage is not overwhelmingly large. However, it lost to Grok 4 on ARC-AGI-2, and its coding ability may not consistently beat Claude 4; writing style also depends heavily on personal user preference (for example, I personally prefer the earlier Grok 3 and current Gemini 2.5 Pro, and haven't used ChatGPT as my primary tool for about three months). Regardless, GPT-5 has finally been released. I feel somewhat let down—it's not as groundbreaking as imagined, more like a model that integrates GPT-4o and o3, reduces hallucinations, updates the dataset, and catches up to the current leading-tier capabilities. Of course, since it's just launched, we need to use it more, compare more, and observe community feedback to truly determine how good GPT-5 really is. Edited on 2025-08-08 09:49
HK$5,000-10,000 Per Month with Commission
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