Generative AI for Finance: Use Cases, Applications and Regulation (online)



Overview

This course delves into the transformative potential of generative AI (GenAI) and large language models (LLMs) in the financial sector. Tailored for professionals but also people new to this exciting area and that are eager to thrive in an AI-driven landscape, it offers a comprehensive understanding of how these cutting-edge technologies are revolutionising financial services.

Participants will gain hands-on experience with prompt engineering to optimise AI functionality for a variety of financial tasks. Through real-world use cases, the course demonstrates how financial institutions are leveraging GenAI and LLMs for portfolio management, risk assessment and predictive analytics.

Beyond technical applications, the course examines the critical regulatory and ethical frameworks governing AI in finance. You’ll learn to navigate compliance requirements, address data privacy concerns and implement ethical AI practices in decision-making processes. The course also features a guest lecturer, legal expert Claudia Otto, who will introduce GenAI's legal implications and its role in shaping financial regulations.

Dates, Times and Delivery 

The Generative AI for Finance: Use Cases, Applications, and Regulation (online) course runs over two weeks, from 17 - 27 March 2025, with online sessions delivered via Microsoft Teams.

Sessions will be held on Mondays and Thursdays from 19:00-20:30 (UK time) on:

  • Monday, 17 March

  • Thursday, 20 March

  • Monday, 24 March

  • Thursday, 27 March

A world clock, and time zone converter can be found here: https://bit.ly/3bSPu6D 

This is a ‘virtual classroom’ course. 

To replicate the experience of a classroom, the sessions are ‘live’ and are not recorded. 

No in-person attendance at Oxford is required and you do not need to purchase any software.

Accessing Your Online Course 

Details about accessing the private MS Teams course site will be emailed to you during the week prior to the course commencing.  

Please get in touch if you have not received this information within three working days of the course start date.

Programme details

Session 1: Introduction to AI, GenAI and LLMs in Finance

  • Overview of AI in financial services
  • Key concepts of generative AI (GenAI)
  • Understanding large language models (LLMs) and their capabilities
  • Trends and innovations in AI for finance (shaping the competitive landscape)

Session 2: Fundamentals of Prompt Engineering for Financial Use Cases

  • What is prompt engineering?
  • Crafting effective prompts for financial tasks
  • Addressing challenges in prompt design
  • Hands-on examples of prompts in real-world applications

Session 3: Ethical & Regulatory Considerations in GenAI for Finance (with guest lecturer Claudia Otto)

  • Risk assessment: e.g., hallucinations, lack of understanding
  • Ethical aspects
  • Role of standards
  • Legal aspects & compliance tips

Session 4: Exploring Use Cases and Future Perspectives of AI in Finance

  • Real-world applications: fraud detection, portfolio management and customer engagement
  • Fine-tuning AI models for financial tasks
  • Future trends in AI and generative technologies
  • Strategic considerations for AI adoption in financial services

This course aims to provide participants with a comprehensive understanding of how generative AI (GenAI) and large language models (LLMs) are transforming financial services. 

It focuses on equipping learners with the skills to design effective prompts, customise AI models for financial tasks and navigate the ethical and regulatory considerations associated with AI adoption. 

By the end of the course, participants will be able to leverage AI technologies to drive innovation, operational efficiency, and compliance within their organisations.

Who is this course for?

This introductory course might be useful for: 

  • Finance professionals and individuals working in banking, investment, risk management or financial advisory roles who want to understand and leverage AI technologies to enhance their work
  • Decision-makers and leaders such as executives, managers and strategists in financial organisations aiming to integrate AI into their operations effectively

  • Professionals and students who are interested in exploring the intersection of AI and financial services, including its applications, challenges and transformative potential.

Certification

In order to be eligible for a certificate of attendance, you will need to attend the whole course. Participants who meet this criteria will be emailed after the end of the course with a link, and instructions on how to access their University of Oxford digital certificate.

The certificate will show your name, the course title and the dates of the course you attended. You will be able to download your certificate, as well as share it on social media if you choose to do so.

Fees

Description Costs
Course Fee £465.00

Payment

Fees include electronic copies of course materials.

All courses are VAT exempt.

Register immediately online 

Click the 'Book now' button on this webpage. Payment by credit or debit card is required.

Tutors

Konrad Kleinfeld

Tutor

Konrad is a qualified banker, former derivatives trader and seasoned investment professional with over 20 years of industry experience in banking, capital markets and asset management. With his extensive background, he offers a unique perspective on both investment strategies and the needs of capital-seeking businesses and corporations in his engaging lectures and seminars. Konrad is currently Head of EMEA Sales for Fixed Income ETFs at one of the world's leading asset management firms. 

Prior to his current role, Konrad spent five years at BlackRock where he covered pension funds and larger German (multinational) corporations. Prior to joining BlackRock, he was a Vice President at Nomura International plc in London and Frankfurt, where he enjoyed a successful seven-year tenure. Konrad began his career as a corporate bond and credit derivatives trader, honing his skills and building a strong foundations in the financial industry. 

In addition to his professional achievements, Konrad is a dedicated part-time lecturer at two prestigious German business schools, where he teaches various aspects of finance and economics to both masters and undergraduate students. In addition, he had the privilege of being a summer school lecturer on finance and artificial intelligence (AI) at King's College London, University of London, from 2016 to 2018. Konrad also shares his expertise as a tutor at Oxford, focusing on topical issues in financial services and AI. 

Konrad's educational achievements include a BA in Banking, an Advanced Diploma in International Development from the University of Cambridge and an Executive MBA from Cass Business School, City, University of London. To further enhance his knowledge and expertise, he has obtained numerous financial certifications. His insights have been recognised and he has been quoted and interviewed by several prominent German TV and print media, including ARD, Tagesschau, n-tv, FAZ, DAF, Sueddeutsche and Handelsblatt. 

Claudia Otto

Guest Speaker

Claudia Otto, owner of the Germany-based law firm COT Legal, is a lawyer specializing in emerging technologies such as AI, digital, and biotechnologies. She is teaching Strategic Foresight, Corporate Governance and Digital Innovation at Fresenius University of Applied Sciences in Germany and has published more than 50 articles. Based on her many years of consulting experience in high-risk industries (e.g. Finance, Pharma, MedTech, BioTech) as well as research in the field of safety and security management, Claudia has developed specialised tools for AI risk assessment to help ensure compliance with the EU AI Act.

Application

If you would like to discuss your application or any part of the application process before applying, please click the 'Ask a question' button at the top of this page.

IT requirements

This course is delivered online using Microsoft Teams. You will be required to follow and implement the instructions we send you to fully access Microsoft Teams on the University of Oxford's secure IT network.

To participate you must be familiar with using a computer for purposes such as sending email and searching the Internet. You will also need regular access to the Internet and a computer meeting our recommended minimum computer specification.

It is advised to use headphones with working speakers and microphone.

Terms & conditions for applicants and students

Information on financial support