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Free Download Excel Data Analytics In Aml Financial Intelligence Analysis2 Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.12 GB | Duration: 1h 22m Mastering Excel Functions and Advanced Tools for AML/CFT Financial Intelligence Analysis What you'll learn Applying the IF Function alongside essential functions effective for AML/CFT Analysis Utilizing Power Query for Table Combination and Transformation in AML/CFT Analysis Managing Data Models with Power Pivot Automating Tasks with AI: Creating Macros and VBA Codes Requirements Having some prior knowledge of Excel will make the content easier to understand. Description "This course is a follow up to my best selling course on "Excel Data Analytics for AML/CFT Financial Intelligence Analysis"This course offers much more in leveraging Excel for AML/CFT (Anti-Money Laundering/Combating the Financing of Terrorism) analysis and investigation. Withe Excel standing out as a cost-effective and accessible alternative to specialized vendor tools traditionally used in this domain Excel is being used for more complex data analysis in this domain , as such the need for the analyst to go beyond just the basic excel features and functions of this powerful analysis tool.The primary goal of this course is to introduce more features and functions to update the skills of the analysts in Excel data analytics to meet up with current demands of the AML/CFT and financial intelligence analyst and investigator . It is designed for individuals seeking a rapid yet thorough understanding of applying Excel's powerful capabilities in this specialized field. Whether you are new to AML/CFT analysis or aiming to enhance your proficiency in financial intelligence through practical Excel applications, this course equips you with essential skills.Parti[beeep]nts will learn to effectively utilize Excel functions such as IF, COUNTIF, MATCH and much more , alongside advanced tools like Power Query and Power Pivot. Additionally, the course covers a basic introduction to integration of AI-driven macros and VBA coding for automating repetitive tasks and enhancing analytical workflows. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Excel Function combinations essential for AML/CFT analysis Lecture 2 IF() and IF(AND()) Lecture 3 IF(COUNTIF() Lecture 4 IF(OR()) Lecture 5 Practice Exercise Lecture 3,4 and 5 Lecture 6 MATCH(), IF(ISNUMBER(MATCH())) Lecture 7 Practice Exercise Lecture 7 Lecture 8 MAXIFS(), IF(MAXIFS()) Lecture 9 Practice Exercise 9 Lecture 10 XLOOKUP, (COUNTIF()) Lecture 11 Practice Exercise Lecture 11 Section 3: Introduction to Power Query, Power Pivot and Excel Data Models Lecture 12 Introduction to Power Pivot Lecture 13 Power Pivot Data Model 1 Lecture 14 Power Pivot Data Model 2 Lecture 15 Power Pivot Data Model 3 Lecture 16 Power Pivot Data Model 4- RELATED() Function Lecture 17 Practice Exercise Power Pivot Lectures Lecture 18 Introduction to Power Query Lecture 19 Some Basic Transformations using Power Query Lecture 20 Adding Tables to Existing Data Model Lecture 21 Practice Exercise Power Query Lectures Section 4: AI assisted analysis using the data Analyse Feature in Excel 365 Lecture 22 DATA ANALYSE in Excel Lecture 23 Practice Exercise DATA ANALYSE AML/CFT professionals,Financial Intelligence Analysts,Compliance officers of financial and other financial institutions,Analysts curious about using excel data analytics in financial intelligence analysis,Persons interested in exploring a career as an AML/CFT analyst or investigator Homepage https://www.udemy.com/course/excel-data-analytics-in-aml_cft-financial-intelligence-analysis2/ Rapidgator https://rg.to/file/2fd079db8dda2c58b04d58d49655c3dd/eyedl.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part1.rar.html https://rg.to/file/3a4e525cabb186633374bdb34ace2b98/eyedl.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part2.rar.html Fikper Free Download https://fikper.com/5TqtNtiDru/eyedl.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part1.rar.html https://fikper.com/mXjUPkjFfw/eyedl.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part2.rar.html No Password - Links are Interchangeable

Free Download Anti-Money Laundering (AML) in Banking and Fintech Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 41m | Size: 422 MB Anti-Money Laundering (AML) in Banking and Fintech What you'll learn Overview of Money Laundering: Understand the stages of money laundering-Placement, Layering, and Integration-and its global impact. AML Challenges in Banking and Fintech: Explore specific AML risks and how they differ between traditional banking and fintech industries. Legal and Regulatory Framework: Gain knowledge of global AML regulations, key regulatory bodies (FATF, Basel Committee), and compliance requirements. Industry Structure and Risks: Learn about the structure of banks and fintech companies and the risks associated with digital payment systems AML Policies and Procedures: Develop skills to implement AML programs in banks and fintech, while addressing challenges in a globalized and digital world. AML Compliance Teams: Understand how AML teams are structured and the roles of compliance officers. KYC (Know Your Customer): Learn about the importance of KYC, e-KYC onboarding, and how they prevent money laundering. Customer Screening Techniques, Transaction Monitoring Product Risk Assessment: Learn best practices for assessing risks in banking and fintech products like wire transfers, digital wallets, and cryptocurrencies. Customer Risk Profiles: Evaluate customer risk based on geography, business type, and transaction behavior, and apply a risk-based approach. Identifying and Reporting Suspicious Activities: Learn how to identify red flags and the process of reporting suspicious activities to regulatory authorities. Advanced AML Systems, AML System Implementation, Future Trends in AML AML Training and Cybersecurity: Learn the importance of continuous AML training and the role of cybersecurity in combating money laundering. Requirements Basic Understanding of Financial Systems: Familiarity with banking, financial services, or fintech operations is helpful but not mandatory. Interest in Compliance and Regulatory Practices: A genuine interest in understanding anti-money laundering (AML) practices and regulatory frameworks. No Prior AML Knowledge Needed: The course is designed for both beginners and professionals; no prior experience in AML is required. Description The "Anti-Money Laundering in Banking and Fintech" course offers an in-depth exploration of anti-money laundering (AML) principles tailored specifically for the banking and fintech sectors. This comprehensive program is designed to equip professionals with the knowledge and skills needed to effectively combat financial crime and ensure compliance with regulatory requirements.Module 1 introduces the fundamentals of money laundering, covering its impact on the global financial system and the key stages: Placement, Layering, and Integration. Module 2 examines the specific AML challenges and risks faced by banks and fintech companies, highlighting the unique aspects of each sector. Module 3 provides a detailed overview of global AML regulations and the roles of key regulatory bodies such as FATF and the Basel Committee.Subsequent modules delve into the operational aspects of AML, including the development and implementation of policies and procedures (Module 5), organizational structures for effective compliance (Module 6), and the importance of Know Your Customer (KYC) processes (Module 7). Students will learn about customer screening techniques (Module 8), transaction filtering and monitoring (Module 9), and risk assessment for both products (Module 10) and customers (Module 11).Advanced topics cover the latest AML technologies (Module 13), detailed requirements for AML systems (Module 14), and emerging trends and challenges (Module 15). The course concludes with a focus on training and cybersecurity (Module 16), emphasizing the need for ongoing education and a culture of compliance.By the end of the course, parti[beeep]nts will have a robust understanding of AML practices in the banking and fintech industries, preparing them to effectively manage and mitigate financial crime risks. Who this course is for Banking Professionals: Individuals working in traditional banking roles who want to enhance their understanding of AML regulations and compliance. Fintech Employees: Professionals in fintech companies looking to grasp the complexities of AML within the digital financial landscape. Compliance Officers: Those responsible for ensuring their organizations comply with AML regulations and want to stay up-to-date with the latest practices. Risk and Fraud Analysts: Individuals working in risk assessment, fraud detection, and financial crime prevention. Regulatory and Legal Experts: Professionals involved in the legal and regulatory aspects of financial services who want to deepen their AML knowledge. Entrepreneurs and Business Owners: Founders or executives of fintech companies who need to understand AML to ensure compliance in their operations. Homepage https://www.udemy.com/course/anti-money-laundering-in-banking-and-fintech/ Rapidgator https://rg.to/file/3730258af3c7b43e2b04c19c6beb0c2c/djawz.AntiMoney.Laundering.AML.in.Banking.and.Fintech.rar.html Fikper Free Download https://fikper.com/2M2wRDOP9b/djawz.AntiMoney.Laundering.AML.in.Banking.and.Fintech.rar.html No Password - Links are Interchangeable