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CompSci major to Trading intern: Sean’s internship experience

Meet Sean, Quantitative Trading Intern

  • University: National University of Singapore
  • Degree: Science and Quantitative Finance (majoring in Computer Science)

Sean joined Optiver as a Quant Trading Intern in 2022 and has since continued his career with the global trading firm, recently returning as a Graduate Trader. In this interview, he reflects on his internship program experience and shares insights into how the team has supported him in building his trading career.

I was reading a book on markets and was fascinated by the role of market makers. After learning that Optiver was one such firm, I joined the campus outreach event. It was a great session and I managed to learn a lot about both the culture and the business. This led me to apply for an internship role as I felt Optiver would be a firm where I can do meaningful work.

My role consists of shadowing traders and helping the trading team with projects. Shadowing is great for learning, as I get to understand the traders’ thought process and how they react quickly to different situations. Projects help the team to automate processes and improve pricing so that traders can make faster, better decisions.

  • Data analysis – drawing insights from data and integrate it into the decision-making process.
  • Logical reasoning – the ability to reason and determine what will happen in markets based on observable events.
  • Curiosity – questioning why things are as they are and understanding concepts from first principles.
  • Teamwork – communicating with and learning from other traders as everyone has their own strengths.

I attended a firm-wide training program, that introduced us to different teams across the business. The training included options trading simulations and trader shadowing, which was engaging and interactive. It also included trading games.

One of my favourite projects involves studying the rate at which to decay time, which is an input to the option pricing model. Time does not decay linearly as volatility is not constant throughout the day, so we need to account for that in our prices. Essentially, we want to make model inputs as accurate as possible, so that traders can focus solely on volatility and trade around it. In fact, one could say, that option traders price volatility as their profession! It’s little improvements like this, that compound and contribute to the success of the firm.

I usually get a glass of water and a bowl of cereal from the pantry. Then I read the morning macro newsletter, and trading wraps from the past day. I try to understand how each macro event affects different markets and whether any interesting trades happened in other offices.

I enjoy working in the collaborative environment. Institutional knowledge is freely shared at Optiver, allowing me to easily reference past research and learn at my own pace. You’re encouraged to make meaningful contributions, even as an intern. Every trading day is unique, so it never gets boring!

The desire to constantly improve myself so that I can help Optiver to be the best among the competition. It’s also very satisfying to figure out how the trading process works, by learning a piece of the puzzle every day.

Solving puzzle hunts. It helps to keep me curious and approach problems from different angles. I also play computer games, which helps me to relax.

Think about how you can add value to the firm and use that as your selling point. During interviews, explain your thinking process and be confident. Most importantly, stay calm – it’s OK to not know the answer to questions, what matters is how you react!

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