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Banking and investment

Opportunities in banking and investment are varied, so you should be able to find a role and organisation that's right for you. This page provides an overview of banking and investment careers, including job roles, required skills, entry routes, job search advice, and useful resources.

Bank of England

The sector is highly competitive, with recruitment processes often starting early. However if you have a real interest in the sector, are focused and can demonstrate the skills and abilities firms are looking for, you should be able to find the right role for you.

The first question to ask yourself is: "What type of work do I want to do?" 

There are many areas you can work in including (but not limited to) investment and retail banking, asset management, private equity, quantitative finance, hedge funds etc. Try to look beyond the most high profile firms, research and explore all of the various options so that you can find the right fit for you.

Sector information

AI & the sector

The sector was one of the earlier adopters of AI and machine learning tools (especially within trading teams) and unsurprisingly firms continues to research and find new ways to use AI to enhance their work. For example Goldman Sachs publishes reports and insights into AI, its development and impact beyond the banking sector.

Some roles for which AI and machine learning tools are a core part of the job, such as quantitative finance roles, require advanced knowledge of these tools, however they tend to be an exception in the market. For the majority of graduate roles, firms are looking for applicants who are tech literate and are familiar with AI and its uses, however you still need to demonstrate an ability to do the core work required for the role (read job descriptions carefully).

Use of AI in job applications & assessments 

Employers often have different perspectives on the use of AI in their application/assessment processes. 
We advise the following: 

  • Check the stance of companies you are targeting. Many have published their policies on AI on their websites. Our Internship Programme hosts may also indicate their stance on AI in their internship vacancy descriptions.
  • Keep in mind that recruitment teams want you to be honest and authentic in your applications and it is difficult to achieve that if you use AI to draft your answers. In using AI tools, you risk sounding generic and uninteresting.  
  • The view on AI varies greatly between employers. In the Careers, University of oxford Annual Employer Survey conducted in May 2025, we asked recruiters: ‘Do you allow or encourage the use of AI tools in the application or assessment process?’. Only 15% answered “Yes”: half of employers replied “No”, they do not want you to use AI in your applications.  
  • People hire people who demonstrate and articulate the skills outlined in their job descriptions – have faith in your own skills and be authentic.  

We also recommend that you read the Careers guidance on the Use of AI in Job Applications and Assessments and the University’s position on the use of generative AI Tools to support learning.

General guidance

If you do choose to use AI tools, think about how you can use them effectively and ethically:

  • Think of it as an assistant, not a complete solution: AI can help to get you started, do initial research on a sector, offer a broad structure/framework, or help to “polish” your applications. However, it is never a substitute for well-researched, tailored and personal content.
  • Make it your own: AI-generated content is built on what others have written in the past, and will tend towards the most likely words and structures. This makes it more likely to be generic and lacking the personal touch that only you can provide. Customise the output to reflect your unique experiences and personality.
  • Check references and sources carefully: AI tools can generate inaccurate or outdated references. Always verify the information and ensure it aligns with your own research.
  • When in doubt: You will need to make your own judgement about whether or not it’s ethical and advisable to use AI tools. A question you should ask yourself:

“If the employer asked you whether you used AI tools, would you be comfortable telling them how and where you used them in your application/assessment process?” 

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Read the Oxford Guide to Careers

To explore an overview of the sector, including entry points, possible roles, and insights from Oxford alumni, download the Oxford Guide to Careers.

Read the Guide