Certificate in Securities Industry Regulations: Next-Gen
-- ViewingNowThe Certificate in Securities Industry Regulations: Next-Gen course is a professional development program designed to equip learners with a comprehensive understanding of the regulations that govern the securities industry. This course is crucial for individuals seeking to advance their careers in finance, compliance, legal, and risk management roles.
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GBP £ 140
GBP £ 202
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โข Regulatory Environment: Overview of securities industry regulations, including federal and state laws, regulations, and rules governing the industry.
โข Compliance Programs: Designing, implementing, and maintaining effective compliance programs to ensure adherence to industry regulations.
โข Risk Management: Identifying, assessing, and mitigating risks associated with securities industry regulations, including compliance risk, operational risk, and reputational risk.
โข Anti-Money Laundering (AML): Understanding and complying with AML regulations, including Customer Identification Program (CIP), Know Your Customer (KYC), and Suspicious Activity Reporting (SAR).
โข Securities Analysis: Analyzing securities using fundamental and technical analysis techniques, including financial statement analysis, industry analysis, and market trends.
โข Trading and Settlement: Understanding the trading and settlement process, including order entry, execution, clearance, and settlement.
โข Ethics and Professional Standards: Adhering to ethical and professional standards in the securities industry, including the CFA Institute Code of Ethics and Standards of Professional Conduct.
โข Regulatory Technology (RegTech): Utilizing technology to enhance regulatory compliance, including regulatory reporting, monitoring, and surveillance.
โข Cybersecurity: Implementing cybersecurity measures to protect against cyber threats and maintain the confidentiality, integrity, and availability of sensitive information.
โข Emerging Trends: Understanding emerging trends in the securities industry, including digital assets, artificial intelligence, and machine learning.
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