Tamer Khraisha
Senior Software Engineer/Financial Technology at Flash Payments
Tamer Khraisha is a senior software and data engineer with over a decade of experience in both industry and academia. He holds a background in financial economics and a Ph.D. in Network Science. He has collaborated with various FinTech startups, where he has designed and developed software solutions for payments, financial analysis, and asset management. As a researcher and scientific author, Tamer's work primarily focuses on the intersection between financial markets, data, and technology.
All Sessions by Tamer Khraisha
Financial Data Engineering: Challenges and Practices
<span class="etn-schedule-location"> <span class="firstfocus">Ai for Finance</span> <span class="secfocus">All Levels</span> </span>Finance is a highly technology-intensive and data-driven sector. Ongoing investments in digital transformation have reshaped financial markets, creating new opportunities and challenges. Consequently, practitioners in banks, FinTech startups, asset management companies, and hedge funds are increasingly facing new and complex requirements related to designing and implementing a reliable and scalable financial data infrastructure while following secure and compliant standards. Crucially, many practitioners lack a holistic view of the concepts, standards, models, and technologies necessary to build such data infrastructures. This is where the practice of financial data engineering is required. This tutorial provides a practical introduction to financial data engineering. By the end, you will have a comprehensive understanding of the challenges involved in creating data-driven financial products. You will learn to navigate the complex financial data landscape and gain expertise in designing and implementing various layers of financial data infrastructure, such as ingestion, storage, transformation, serving, and monitoring.
Financial Data Engineering: Challenges and Practices
<span class="etn-schedule-location"> <span class="firstfocus">Ai for Finance</span> <span class="secfocus">All Levels</span> </span>Finance is a highly technology-intensive and data-driven sector. Ongoing investments in digital transformation have reshaped financial markets, creating new opportunities and challenges. Consequently, practitioners in banks, FinTech startups, asset management companies, and hedge funds are increasingly facing new and complex requirements related to designing and implementing a reliable and scalable financial data infrastructure while following secure and compliant standards. Crucially, many practitioners lack a holistic view of the concepts, standards, models, and technologies necessary to build such data infrastructures. This is where the practice of financial data engineering is required. This tutorial provides a practical introduction to financial data engineering. By the end, you will have a comprehensive understanding of the challenges involved in creating data-driven financial products. You will learn to navigate the complex financial data landscape and gain expertise in designing and implementing various layers of financial data infrastructure, such as ingestion, storage, transformation, serving, and monitoring.