Financial Technology: Cryptocurrency, Machine Learning & Digital Banking
Imperial College Business School
How long?
- 8 weeks
- online
What are the topics?
Imperial College Business School
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Who should attend
This global programme is designed to equip mid- to senior-level finance executives with insights and practical skills to harness financial technology strategies, particularly:
- Finance professionals looking to fain insights on technologies that are changing banking and finance, and on disruptions taking place in financial services
- CXOs and senior management of fintech startups looking to critically assess the future of the financial services industry through exploration of real world problems
- Consultants who provide fintech services to clients and want to stay updated on trends to create cutting-edge solutions based on disruptions in the space
- Risk compliance and regulatory professionals seeking to improve their professional knowledge of fintech and its regulatory frameworks
About the course
Financial Technology: Cryptocurrency, Machine Learning & Digital Banking is designed to give you a foundation in fintech and its components, including digital finance tools, personal banking, Blockchain and cryptocurrency, and machine learning and artificial intelligence.
The eight week online programme draws on expertise from Imperial College Business School faculty, industry experts and case studies. You will also draw on the expertise of your peers and will gain the skills to lead your company into the fintech revolution.
You will experience live online teaching sessions, video lectures, interactive activities and assignments whilst receiving personal support from a dedicated Learning Team.
You will finish the programme prepared to implement your learnings, and with a verified Digital Certificate from Imperial College Business School Executive Education.
Learning objectives
- Learn existing functions within banks to uncover potential inefficiencies
- Compare and contrast how standard versus digital banks perform given functions in your country
- Determine the best tactics to attract new customers for loans and identify the holes in the way customers are currently found
- Consider which functions would be better utilised with machine learning or artificial intelligence
- Understand the limitations of ML and AI and how to use them to analyse results and determine risk factors
- Apply the concepts and applications of ML and AI to real-world scenarios
- Determine situations that should utilise cryptocurrency versus digital fiat currency
- Sort risks according to whether they apply to fintech or regular financial institutions
- Predict which functionalities will remain in banks or switch to an outside entity
- Develop a plan for integration of fintech within a financial organisation
What you will learn
Module 1: Digital Transformation and Financial Services
Module 2: Personal Banking
Module 3: Lending Markets
Module 4: Applications of Machine Learning in Fintech; Risk Management and Credit Scoring
Module 5: Digital Distributed Ledger: Blockchain and Cryptocurrencies
Module 6: Regulations
Module 7: Fintech Capstone Project
Experts
Rajkamal Iyer
Dr. Iyer is Associate Professor of Finance at Imperial College Business School in London. Prior to his appointment Dr. Iyer held the post of Associate Professor of Finance at the MIT Sloan School of Management. Dr. Iyer’s research focuses on the area of banking and contract theory, with a partic...
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Financial Technology: Cryptocurrency, Machine Learning & Digital Banking at Imperial College Business School
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