Explore the perspective of regulators and industry to become a knowledgeable leader in regulatory technology and financial risk management.
Length: 6 weeks
Effort: 7-10 hours per week, self-paced online learning
Cambridge’s RegTech programme will deliver critical insights and hands-on tools for working professionals in government and industry to address an increasingly complex regulatory environment. The course will prepare risk, compliance, innovation and data sector business leaders to navigate the complexities of the industry, including technologies such as Artificial Intelligence (AI) and Machine Learning (ML) that support automated regulation.
In this programme, professionals will:
What makes this course different is the capstone project that allows our learners to uncover new ways of thinking about leveraging RegTech in business by identifying a challenge for regulators or regulated industries, creating a detailed framework and recommending a real-world solution.
“This programme is a good example of the application of data science to solve real world problems - in this case, challenges around regulatory change, regulatory compliance and risk management for firms operating in the economy.”
Robert (Bob) Wardrop, Management Practice Professor, University of Cambridge Judge Business School
You will benefit from the RegTech: AI for Financial Regulation, Risk, and Compliance programme if you are:
An overview of the program, the next-generation AI platform used to deliver it, and the community of fellow innovators and leaders.
Learn the fundamental concepts ofRegTech, how it has evolved, why it matters and what it is capable of. You will will understand how:
Understand how RegTech applications organise and display the entities regulated firms care about, how AI-powered tools make information structures actionable, and the ways in which commercial organisations work together to process regulatory content.
Learn how boundedly rational decisions can perpetuate manual or sub-optimal processes in regulated firms, ways to overcome stakeholders that present as obstacles to technology applications and how to leverage successful RegTech implementations to overcome resistance.
Understand how key technologies and systems make RegTech applications scalable in light of their prerequisites and limitations while appreciating the nature and magnitude of quality assurance, data cleaning and standardisation. You will also consider the technological and ethical challenges to implementing AI at scale.
Distinguish between data, semantic, application, and analog solutions with a focus on compliance automation solutions for diverse audiences. You will understand how to develop an actionable medium-term plan for the development, procurement and implementation of technologies as well as formal ways in which organisations can collaborate with IT and RegTech vendors.
Uncover new ways of thinking around how to make RegTech work in your business by identifying a challenge for regulators or regulated industries, creating a detailed framework and recommending a real-world solution.
Academic Programme Director
Bob is an economic sociologist interested in understanding how and why channels and instruments of finance emerge outside the traditional financial system and how this impacts regulators, incumbent financial institutions and consumers. In addition to his role at the University of Cambridge, Bob is a member of the Steering Committee for the Cambridge Centre for Data-Driven Discovery (C2D3), an interdisciplinary research centre at Cambridge bringing together expertise from across academic departments and industry to drive research into the analysis, understanding and use of big data. Prior to pursuing his academic career in 2010, Bob had an international career as a professional investor, most recently as a Managing Director in the investment group of one of the largest privately-owned companies in the United States, where he was responsible for a portfolio of European corporate debt and equity investments. He has held several board directorships and advisory roles with academic, governmental and commercial organisations over the course of both his academic and non-academic career.
Emmanuel (Manos) Schizas
Head of Product & Co-Founder, Regulatory Genome Development Limited
Simone di Castri
Fellow, Cambridge Centre for Alternative Finance, University of Cambridge Judge Business School
Senior Lecturer at Centre for Finance, Technology and Entrepreneurship
Founder and Managing Director, RegTech for Regulators Accelerator (R2A)
More than 30 experts from around the world, including Massachusetts Institute of Technology faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in data strategy.
Pieter Franken - Runs Apix (supported by Monetary Authority of Singapore). / Pēteris Zilgalvis - Head of Unit, Digital Innovation and Blockchain, DG CONNECT; Co-Chair, FinTech Task Force, European Commission. / Travis Jarae - CEO at One World Identity. / Barry West - Head of Emerging Technology at Abu Dhabi Global Market. / Dakota Gruener - ID2020. / Niresh Rajah - Grant Thornton. / Joachim Keatzler - Senior Partner of CMS in Germany. / Alex Khachaturian - FINRA Director of Innovation Office. / Joy Wann - Advisor, BIS Innovation Hub Singapore Centre at Bank for International Settlements – BIS. / Niels Pedersen - Author of Financial Technology: Case Studies in Fintech Innovation and FinTech Programme Leader, The Manchester Metropolitan University. / Jo Ann Barefoot - CEO & Cofounder at Alliance for Innovative Regulation (AIR).
The Esme Learning Way
Collaborative AI-enhanced learning
We teach executives as they work - in cross functional teams. Learners participate in interactive simulations and team projects which reinforce applied learning and enhance collaboration and complex problem solving skills. If you are looking for an individually-paced programme, this programme is not for you.
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