OQG selects students from any year and any major for each recruiting class.
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OQG doesn't require any technical or financial background. We believe the best candidates can be created, and we evaluate applicants holistically. If you have prior experience, great! However, it won't hurt your chances if you don't.
We don't expect prior experience with our tech stack, a finance background or 5 years of competitive programming. Our members come in willing to dedicate their time to bridging the gap and creating quality research.
Three questions, one track. Answer all three and hit See my track, or tap a photo to read about it.
You run part of the org. Could be curriculum (Professional Edge), could be big/little mentorship, could be exec. You're developing people, building culture, running operations. Best if you care about the community and want to shape how OQG works.
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You're in research but you also help with client work when needed. Or you lead a small initiative while being on a research team. OQG isn't rigid. Most people aren't pure anything.
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You ship code to a real business. Fast feedback. You see impact immediately. You're building features, hitting deadlines, working with a paying client. Best if you like shipping and seeing your work used.
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You join a team doing original research. 10 weeks of real data, real analysis. Whitepaper at the end. Published or presented publicly. You're thinking hard, reading papers, building models. Best if you want deep work and a portfolio piece that matters.
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Quick answers to a few commonly asked questions. Still have more? Feel free to reach out to our team.
Students who are curious, rigorous, and willing to be pushed. We care more about how you think than what you already know.
OQG focuses specifically on Quantitative Finance, which sits at the intersection of math, statistics, and code. Finance is the domain, not the prerequisite.
Research in small teams, client work for real firms, a structured education track, and industry exposure through site visits and speakers. By the end of the year, you'll have a whitepaper, a GitHub repo, and a presentation to show for it.
No. Most members lean technical, but we've accepted people from all backgrounds. What matters is that you can learn fast and do the work.
Some Python helps. You don't need to be an expert. You do need to be willing to get there.
Our last cycle had a 9% acceptance rate. Most people who get in come in prepared and clear about why they want it.
A written application, then behavioral and technical interviews. The technical round tests how you reason, not whether you've memorized formulas.
Recruitment follows the academic year term cycle. Applications for each term cycle open Week 1 of the term and close in Week 3.