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University of Cambridge Judge Business School

University of Cambridge

Cambridge RegTech:
AI for Financial Regulation, Risk, and Compliance

Become a certified business leader in regulatory technology and financial risk management.

COURSE STARTS
20 Oct 2021
Registration closes 27 Oct

Accelerate your career with:
– In-demand skills
– Collaborative online learning
– A certificate from University of Cambridge

Length:

6 weeks

Language:

English

Effort:

7-10 hours per week, self-paced online learning

University of Cambridge Judge Business School

University of Cambridge

Cambridge RegTech: AI for Financial Regulation, Risk, and Compliance

Become a certified business leader in regulatory technology and financial risk management.

COURSE STARTS

20 Oct 2021

Registration closes 27 Oct

 

PRICE

$2,200

Payment options

Enable a comprehensive conceptual framework for compliance and supervisory operations

Build, socialise and oversee a road map for implementing advanced technologies in compliance, compliance oversight and supervision

Distinguish between regulatory change challenges best addressed at the firm- or industry-level and to scope industry-level solutions

Evaluate project proposals in compliance automation and anticipate resource and organisational impact

 

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

 

    • Acquisition and retention of new skills supported by an AI-driven learning platform, individual- and team-based programming, and individual success coaching

 

    • 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

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.

Download Brochure


How You Will Learn:


  • Digital videos or audio content, augmented by material created exclusively for the course
  • Quizzes and exercises designed specifically to help you understand and retain new information
  • Dialogue with expert instructors and your peers via discussion forums and small group sessions
  • Simulations and other carefully crafted interactions to provide an engaging learning experience
  • Real-life examples that place information in context to help you understand how the concepts delivered in the programme material can be applied to your work environment

  • AI coaching to improve your and your team’s collaboration

Want to Know More?


The Esme Learning Advantage
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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.

30x

improvement on completion rates compared to other online courses