This course offers a comprehensive introduction to the different segments of the financial services industry, including Retail Banking, Wealth Management, Capital Markets, and FinTechs. It will cover the various ways in which banks and FinTechs generate revenue and the key risks and compliance requirements that they must address, such as cybersecurity and operations risk.
For architects, the course will provide an in-depth look at trading systems and the technology platforms needed to support them. It will also explore financial risk management, including market, credit, and operations risk, and the technology platforms required to manage them. Additionally, the course will delve into Anti-Money Laundering (AML) and compliance, cybersecurity in banking, and strategies for driving revenue in retail banking.
For business development execs, the course will cover the latest trends in the industry, such as roboadvisory, payments systems, and open banking. Participants will learn how to build technology platforms for these emerging areas, as well as key design principles and patterns for leveraging Kubernetes, big data, and machine learning to create high-performance, cost-effective solutions.
Participants will also learn strategies for securing their architectures and increasing their availability, as well as how to modernize legacy banking applications through cloud integration. The course will also cover how big data processing, machine learning, and LLMs such as ChatGPT fit into modern financial services architecture, and how to integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production.