Generative AI for Finance: Use Cases, Applications and Regulation



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 who 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. Claudia will give her talk remotely.

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 and 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 and 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.

Attending Your Course 

Further details will be emailed to you two weeks ahead of your course, which will include registration information. 

If you have not received your joining instructions five working days before the course start date, please get in touch. 

In the meantime, you may wish to plan your travel: Travel information

Certification

In order to be eligible for a certificate of attendance, you will need to attend the whole course. Participants who meet this criterion 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
1. Standard course fee £685.00
2. Discount fee package: 4 - 6 June 2026 £1835.00

Payment

This course can be taken separately or as a discount fee package including Financial Analysis and Analytics (4 June) and Financial Investment Principles (5 June), saving £220.

Fees include course materials, tuition, refreshments and lunch. The price does not include accommodation.

All courses are VAT exempt.

Register immediately online 

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

Request an invoice

If you require an invoice for your company or organisation, please email us to request an online application form. Payment is then accepted online, by credit/debit card, or by bank transfer.

Tutors

Konrad Kleinfeld

Konrad is a senior investment professional and part-time lecturer at the University of Oxford, with over 20 years of experience across banking, capital markets, and global asset management. His career spans leadership roles at leading international institutions, including BlackRock, Nomura, and State Street Investment Management, where he has specialised in fixed income markets, ETF distribution, and institutional client coverage across EMEA. His experience also includes managing corporate bond and credit derivatives strategies, as well as contributing to the electronification of bond markets and the evolution of modern investment infrastructure.
 
Alongside his industry career, Konrad is an active educator. At Oxford, he teaches at the intersection of finance, investment, and artificial intelligence, with a particular focus on the structural transformation of financial services. He has also taught economics at leading German business schools and previously served as a summer school lecturer at King’s College London, where he delivered courses on global finance and AI. His teaching emphasises the integration of academic rigour with real-world application.
 
Konrad holds a BA in Banking (Hannover), an Advanced Diploma in International Development from the University of Cambridge, and an MBA from London. He has also completed multiple professional certifications in finance, trading and investment management.
 
His market insights are regularly featured in leading German and international media, including ARD Tagesschau, n-tv, FAZ, Süddeutsche Zeitung, WirtschaftsWoche, and Handelsblatt. He also contributes to widely followed economic indicators, including the ZEW Financial Market Survey.

Rechtsanwältin Claudia Otto

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 'Ask a Question' at the top of this page. 

Accommodation

Although not included in the course fee, accommodation may be available at our on-site Rewley House Residential Centre. All bedrooms are en suite and decorated to a high standard, and come with tea- and coffee-making facilities, free Wi-Fi access and Freeview TV. Guests can take advantage of the excellent dining facilities and common room bar, where they may relax and network with others on the programme.

To check prices, availability and to book rooms please visit the Rewley House Residential Centre website. 

Enrolled students are entitled to discounted accommodation rates for the purpose of study, at Rewley House, and can contact the administration team for the promotional code to use for making online accommodation bookings via the website.

Terms & conditions for applicants and students

Information on financial support