Investment Banking Summer Intern - LionTree
- Employer: LionTree
- Closing date: 30-Sept-2026
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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.
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.
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).
Employers often have different perspectives on the use of AI in their application/assessment processes.
We advise the following:
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.
If you do choose to use AI tools, think about how you can use them effectively and ethically:
“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?”
To explore an overview of the sector, including entry points, possible roles, and insights from Oxford alumni, download the Oxford Guide to Careers.