Starglitz is committed to upholding the highest standards of integrity, ethics, and compliance with all applicable anti-money laundering and counter-terrorism financing laws and regulations. This Anti-Money Laundering (AML) Policy outlines our commitment to preventing and detecting any attempts to use our services for illicit activities, such as money laundering, terrorism financing, or any other unlawful activities.
designated a Compliance Officer responsible for overseeing the implementation and effectiveness of our AML program. The Compliance Officer serves as the point of contact for all AML-related matters and ensures ongoing compliance with relevant laws and regulations.
We perform thorough customer due diligence measures to establish the identity and legitimacy of our customers. This includes obtaining and verifying identification information, such as government-issued identification documents, proof of address, and any other necessary documentation.
We adhere to a strict Know Your Customer (KYC) policy, which involves obtaining sufficient information to understand the nature of our customers' business, their source of funds, and their intended use of our services. We may request additional documentation or conduct enhanced due diligence for higher-risk transactions or customers.
Starglitz is committed to promptly reporting any suspicious activities or transactions that may be indicative of money laundering, terrorism financing, or other unlawful acts. Our staff is trained to recognize red flags and report suspicious activities to the appropriate authorities.
We maintain accurate and up-to-date records of all customer information, transactions, and due diligence documentation in compliance with applicable laws and regulations. These records are securely stored and made available to regulatory authorities upon request.
We employ ongoing monitoring procedures to detect and prevent any suspicious or potentially unlawful activities. This includes regularly reviewing customer accounts, transactions, and activities for any anomalies or deviations from expected patterns.