The Quant Academy teaches skills in coding, data analysis, and quant finance, culminating with a final project. The time commitment is 3-4 hours weekly.
We don't require you to have any prior experience, preferably studying something within STEM or finance, and an interest in quant finance.
Applications will be open from the 10-20th of October 23:59 BST, and applications may be reviewed on a rolling basis;.
At our quantitative fund, we regularly engage in discussions around influential papers in Finance and Trading. We enhance our understanding through interactive trading simulations and explore a wide range of Machine Learning applications in finance. Teams are carefully selected for collaborative projects, where we investigate innovative trading strategies or develop computational models, fostering both analytical and technical expertise.
The program runs throughout the term, with an estimated time commitment of 4-5 hours per week. Participants will work in teams and meet fortnightly, allowing flexibility in managing workload. While the program is consistent across the term, the intensity may peak towards the end, with the final week being more focused as teams present their investigations and ideas.
During the program, you can expect to engage in a variety of activities, including reading and discussing key papers in Finance and Trading, participating in trading simulations, and applying Machine Learning and statistical methods to develop innovative strategies. Coding will play a key role, and participants will be able to enhance both their technical and analytical skills.
By the end of the term, you will have gained proficiency in important financial concepts, Machine Learning techniques, and statistical approaches. Additionally, we’ll be organising networking events such as pub socials and a poker night, aimed at building camaraderie and ensuring that everyone gets to know each other better.
We’re seeking applicants who are eager to learn and enjoy working through challenging problems. You don’t need to have prior knowledge in finance, as we value enthusiasm and curiosity above all else. The ideal candidate will have sufficient free time to commit about 4-5 hours per week to the program, along with the flexibility to engage in team meetings every two weeks.
While past experience in finance or coding, as well as prior involvement in CapitOx, can be beneficial, it’s not a strict requirement. We’re open to participants from diverse backgrounds as long as they are committed to learning and growing. If you thrive in collaborative environments, enjoy problem-solving, and are keen on gaining exposure to financial concepts, machine learning, and statistical methods, you’ll fit right in.
This is a great opportunity to develop both technical and analytical skills, and we’re excited to see motivated individuals take on this challenge!
Applications for the program will open during the winter vacation and we encourage you to apply early, as we operate on a rolling admissions basis. This means that the sooner you apply, the better your chances, as spaces may fill up quickly. The application process consists of a few stages:
Initial Application: Submit your application through our portal before the deadline (TBC), making sure to showcase your motivation and eagerness to learn.
Test: As part of the process, you’ll complete a short test administered via Google. Don’t let this discourage you! The test is simply to establish a baseline understanding, and we are inclusive of candidates from non-STEM backgrounds. Whether or not you have a technical background, we encourage you to apply, as quantitative finance careers are highly rewarding, and this program is designed to support diverse learning paths.
Interview/Assessment: After the test, selected candidates will move on to an interview or assessment to further evaluate their fit and readiness for the program.
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