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

Make sense of financial regulation chaos

PROGRAMME STARTS
7 Sept 2022
Registration closes 13 Sept

Make sense of financial regulation chaos

Explore the perspective of regulators and industry to become a knowledgeable leader in regulatory technology and financial risk management.

  • Length:
    6weeks
  • 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


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:

 

  • 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

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.

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

Head of Product & Co-Founder,

Regulatory Genome Development

Limited (RGDL), University of

Cambridge Judge Business School

Simone di Castri

Head, Cambridge SupTech Lab,

University of Cambridge Judge

Business School

Guest Experts


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).

Download Brochure

Want to know more?


Using live interactive tools and AI, Esme Learning is transforming the experience of group collaboration through its proprietary, breakthrough technology platform.

The most effective learning experiences occur in small groups who are engaged in problem solving, creative tasks, or complex decision making. In an online work environment, when people lack conversational cues, it’s hard for teams to build rapport and be successful.

Esme Learning’s platform changes the way team members interact in real-time, while video calls are happening. It uses AI to analyse online conversation dynamics and provide real-time personalised feedback to each participant to ensure that the exchange of ideas is not dominated by a single person, and that the conversation is as inclusive as possible. Simple on-screen cues guide participants to more effective team interactions.

You may pay your course fees in one upfront payment via credit or bank card, or you may opt to split payment in two or three installments. A 5% administrative fee will be added to any split payments. Financing options are also available for select courses and programmes. Discounts are not included in financing options. For more information,schedule a call with a learning advisor.

Future Finance Student Loans
UK, EU and international learners who are UK residents may be eligible for private student loans. Learn more

Recognising that working executives require fast and efficient methods of upgrading their skills, Esme Learning has blended art and science to produce an online learning platform that drives results.

We leverage cognitive and neuroscience research, personalised and individualised success coaching, and next-generation artificial intelligence technologies to enhance the learning experience--resulting in a course completion rate that is 30x higher than our competitors.

Helping employees upgrade their skills benefits employers and employees alike. Many organisations offer tuition reimbursement programmes as it is easier to retain top talent, and investing in up-skilling can be more cost-effective than hiring new staff. For employees, taking advantage of your employer-sponsored tuition programmes is the perfect way to build skills while also building value for your company. For a sample letter to send to your employer requesting tuition reimbursement, please reach out to one of our course advisors.

As part of our commitment to your professional development, Esme Learning offers you up to a two-week period to change your course start date or request your money back if you’re not fully satisfied.

To qualify for a deferral of your course start date, or to cancel your enrolment and receive a refund of your course fee, your request would need to reach our Success Team before the end of Module 1. For more information, please read our Terms and Conditions.

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.

Search