If you’re curious about a career in STEM, you’ve probably thought about big tech or academia–but have you thought about trading? There are many types of roles you might see, including quantitative trader, quantitative researcher, and institutional trader. While these might seem similar–all require strong analytical skills and mathematical thinking—the day-to-day work can look quite different. So, how do you know which role is right for you? Let’s break it down.

Quantitative traders are in the thick of the action–closely watching the markets, making quick decisions, and collaborating with teammates in a fast-paced setting. They build tools to automate trading decisions, always looking for ways to move faster and smarter. The problems they tackle don’t come with textbook answers, so they rely on sharp instincts, creativity, and technical skill to find solutions. By adjusting trading system parameters in response to market conditions, they directly influence the trades we make and positions we take.

Quantitative researchers focus on solving complex problems through deep, independent research. Their work shapes trading strategies, enhances execution, and improves position management. Some projects start with a quick idea, while others involve longer investigations and iteration. Using tools like statistics, machine learning, and programming, they design and optimize trading algorithms. Their contributions help us adapt to changing markets and continuously improve our performance.

Institutional traders are the eyes and ears of the trading floor. In addition to their own team, they interact with brokers and other trading teams, making themselves the centralized processing unit of information for the desk*. They’re actively trading and directly influencing the positions we take through the relationships they’ve built. Because of their constant communication with both internal teams and outside market participants, they help shape real-time decisions around trading and pricing.

Three paths, one goal

At a firm like Optiver, trading isn’t just about buying low and selling high. It’s a world of data, algorithms, and high-speed decision-making. While quantitative traders, researchers, and institutional traders take different approaches, they share a common goal: improving the markets* through innovative, data-driven solutions.

• Quant researchers utilize financial models to analyze market data and predict market scenarios, much like chess players who study opening theory, constantly assess the board, and simulate possible future moves.
• Quant traders need fast reflexes, pattern recognition, and strategic thinking like competitive gamers, all while staying cool under pressure.
• Institutional traders orchestrate people and processes like a quarterback leading a team to execute plays in real time.

Each path is different. But all rely on STEM skills, curiosity, and a passion for solving problems that matter.

Think you know your match? See our open roles.

*Glossary:

The desk: In trading, “the desk” refers to a specific team within the firm that focuses on a particular area of the market. For example, a commodities desk focuses on trading things like oil or wheat.

Improving the markets: When traders or trading firms talk about “improving the markets,” they usually mean making the buying and selling of financial products (like stocks or options) faster, more efficient, and fairer for everyone. Think of it like upgrading a highway so that more cars can travel safely and quickly, without traffic jams.