COURSE STARTS
March 8, 2023
Registration closes March 8, 2023
PRICE
$2,500
Payment options available
Explore the perspective of regulators and industry to become a knowledgeable leader in regulatory technology and financial risk management.
Length:
6 weeks
Language:
English
Effort:
7-10 hours per week, self-paced online learning
Cambridge RegTech: AI for Financial Regulation, Risk and Compliance Programme
Make sense of financial regulation chaos
COURSE STARTS
September 7, 2022
Registration closes September 13, 2022
PRICE
$2,500
Payment options available
Explore the perspective of regulators and industry to become a knowledgeable leader in regulatory technology and financial risk management.
Length: 6 weeks
Language: English
Effort: 7-10 hours per week, self-paced online learning
Why Study RegTech?
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:
- Identify new applications and revenue opportunities for RegTech solutions –including technologies such as big data, cloud computing and AI
- Understand model-driven, machine-readable and executable regulations to scale a business
- Learn from leaders who created the Regulatory Genome Project, a transformational initiative launched in part by the Cambridge Centre for Alternative Finance (CCAF) to sequence an open-source repository of machine-readable regulatory information
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
Is This Programme Right For You?
You will benefit from the RegTech: AI for Financial Regulation, Risk, and Compliance programme if you are:
- Working in regulatory affairs
- Have deep regulatory experience, particularly with innovation
- A senior compliance officer
- Working with digital portals in professional services
- Head of Innovation at a mid-size bank, law or advisory firm
- A head of data analytics, chief data officer or a head of risk professional
Programme Content
Module 0: Orientation
An overview of the program, the next-generation AI platform used to deliver it, and the community of fellow innovators and leaders.
Module 1: Taking Stock: The Context of RegTech
Learn the fundamental concepts ofRegTech, how it has evolved, why it matters and what it is capable of. You will will understand how:
- Regulation fundamentally shapes operations--beyond imposing costs
- Industries are impacted by legal uncertainty and incentivised activities
- Various parts of a commercial organisation work together to process regulatory content
- Supervisory bodies work together to process data from firms
- Data will likely undergo a transformation in the process of becoming actionable
- Data, semantic, and application of compliance solutions can be distinguished
- Different types of RegTech solutions can be combined for improved results
Module 2: What is Machine-Readable Regulation?
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.
Module 3: Managing Regulatory Change
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.
Module 4: Scaling Machine-Readable Regulation
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.
Module 5: Building and Buying RegTech / SupTech Solutions
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.
Module 6: Prototyping Sprint + Project Capstone
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.
What You Will Gain
- Proof of knowledge through the prestigious Certificate of Completion issued by the Cambridge Judge Business School
- A powerful professional network from building connections with a global cohort of leaders, influencers and programme participants
- Coveted industry knowledge from market-driven curriculum, designed and delivered to the standard of an elite academic institution
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- Acquisition and retention of new skills supported by an AI-driven learning platform, individual- and team-based programming, and individual success coaching
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- A career-accelerating tool kit to accelerate as a future-forward leader comprised of frameworks, strategies and methodologies
Your Academic Programme Directors
Academic Programme Director
Robert (Bob) Wardrop
Programme Director
Management Practice Professor,
University of Cambridge Judge Business School
Robert (Bob) Wardrop
Programme Director
Management Practice Professor,
University of Cambridge Judge Business School
University of Cambridge Judge Business School
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.
Faculty
Emmanuel (Manos) Schizas
Research Associate & Lead in Regulation and RegTech, Cambridge Centre for Alternative Finance, University of Cambridge Judge Business School
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)
Guest Experts
More than 30 experts from around the world, including Cambridge Judge Business School faculty and industry leaders, draw on their expertise to provide a window into the change and potential opportunities in RegTech.
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.
Cambridge RegTech: AI for Financial Regulation, Risk and Compliance Programme is delivered as part of a collaboration with Cambridge Judge Business School and Esme Learning. All personal data collected on this page is primarily subject to the Esme Learning Privacy Policy.
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