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Oxford AI in Fintech and Open Banking Programme

72% of decision makers believe AI is the future.*

6 Week Online Programme

Prepare for the AI revolution in Open Banking with this 6-week, online programme starting 8 June.

Secure your spot before orientation begins.


PROGRAMME STARTS
8 June 2022
Registration closes 14 June 2022

PRICE
£2,200

Payment Options

What you will learn

Programme content includes:

  • Introduction to AI (artificial intelligence) and data basics
  • Open Banking and the data revolution
  • AI in incumbent banks and the opportunities for new entrants
  • Platforms as key market players
  • AI opportunities, pitfalls and ethics
  • Open Data, AI strategy and the future


The financial services industry is rapidly evolving. Embrace Open Banking and capitalise on digital transformation.
Early admission rates apply, and multiple payment options are available. Seize the opportunity.

For more information about the programme curriculum, instructors and key learning outcomes, visit the programme page here

DOWNLOAD PROSPECTUS GO DIRECT TO REGISTER
Who you will learn from

Our programme faculty brings together thought leaders from the University of Oxford with industry experts, to facilitate the rapid application of theory to practice.

Your programme directors

Pinar Ozcan

Professor of Entrepreneurship and Innovation,
Saïd Business School, University of Oxford

Pinar Ozcan specialises in entrepreneurship and strategy in technology markets. Her current research includes open banking, AI ventures, and digital platforms.

In 2018, Pinar received the Strategic Management Society Research in Organisations Award for her work on the disruption in the banking sector in partnership with Swift Institute. She was recently selected to the global Thinkers 50 list for emerging thinkers with the potential to make lasting contributions to management theory and practice. In 2019, she was chosen as a British Academy Mid-Career Fellow for her work on the disruption of banking in Europe and the UK.

Martin Schmalz

Professor of Finance and Economics,
Saïd Business School, University of Oxford

Martin is a tenured Associate Professor of Finance at Saïd Business School, where he currently teaches an elective for Oxford’s MBAs, MFEs, and MLFs on Big Data, Artificial Intelligence and Machine Learning in Finance. Martin's research expertise includes entrepreneurship, corporate finance and governance, behavioural finance and asset pricing, and various studies of the asset management industry.

Martin has co-authored the book, The Business of Big Data: How to Create Lasting Value in the Age of AI and contributed to a range of global publications. Martin’s research on how the ownership structure of firms affects firm behaviour and market outcomes has affected policy-making and antitrust enforcement worldwide.

Guest speakers

More than 30 experts from around the world provide a window into the change and potential opportunities in AI and Open Banking. Complete and submit the form above to get the full list of guest experts within the programme prospectus.

Leon Muis

Non-Executive Director,Chief Business Officer, Yolt

Leon Muis

Non-Executive Director,Chief Business Officer, Yolt

Paula Cipierre

CEO at Money Dashboard

Paula Cipierre

CEO at Money Dashboard

Paula Cipierre

EU Data Protection Lead, Palantir Technologies

Paula Cipierre

EU Data Protection Lead, Palantir Technologies

Simone Koo

Founder & Chief Operating Officer, Team Credit & Finance

Simone Koo

Founder & Chief Operating Officer, Team Credit & Finance

Sergio Álvarez Teleña

Founding Board Member, SciTheWorld, Himitsu Tech
Founding Board Member, Quantum Mads

Michael Salmony

Executive Advisor, equensWorldline SE

Ian Pollari

Yu Liu (Rita)

CCO of Mode(LSE:MODE) , Ex CEO of Alipay(UK)

Barry West

Head of Emerging Technology at Abu Dhabi Global Market (ADGM)

Steve Bradford

Co-Founder & CCO, OpenWrks Group

Stuart Ward

Director of Industry Strategy, Financial Services, Salesforce

Jessica McDonald

Senior Manager, Financial Services SMB, Salesforce

Alexandra Mysak

Director of Financial Services, Databricks

Thomas Hellmann

DP World Professor of Entrepreneurship and Innovation, Saïd Business School, University of Oxford

Yasin Rosowsky

CO-CEO, Arabesque AI

Bill Roberts

Head of Open Banking, Competition and Markets Authority

Ajay Bhalla

President, Cyber and Intelligence Solutions, Mastercard

Cristina Caffarra

Senior Consultant, European Competition, Charles River Associates

Gina Neff

Professor of Technology & Society, Oxford Internet Institute and the Department of Sociology at the University of Oxford

Gavin Littlejohn

Director and Non-Executive Chairman, FDATA Global

Ajay Agrawal

Geoffrey Taber Chair in Entrepreneurship and Innovation, Rotman School of Management, University of Toronto

Michael King

Associate Professor and Lansdowne Chair in Finance, Gustavson School of Business, Univ of Victoria

Chee Wai Ho

Country Head, Singapore & Vice President of Neobank & Cards Strategy, Nium

Alan Walsh

Director of Partnership & Ecosystems, Duedil

Paul Lucas

IBM

Karen Smith

IBM

Max Flötotto

Senior Partner, McKinsey & Company

Maria Axente

Responsible AI Lead, PwC Frontier Lab

Dr. David Heike

Managing Director, Head of Risk Modeling, JPMorgan Chase & Co.

Husayn Kassai

Co-Founder and Advisor, Onfido

David Roi Hardoon

Senior Advisor for Data and AI to the Union Bank of the Philippines

Felipe Thomaz

Associate Professor of Marketing, University of Oxford

Nir Vulkan

Associate Professor of Business Economics, Saïd Business School, University of Oxford

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 analyze online conversation dynamics and provide real-time personalized 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. Discounts are not included in financing options. For more information, schedule a call with a learning advisor.

Recognizing 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 organizations offer tuition reimbursement programs 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 programs 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 enrollment 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.

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