Quantitative Researcher Intern

BlockTech is hiring a Quantitative Research Intern to join our Delta One team in Singapore for summer 2027. Over 12 weeks, you’ll own a research project end-to-end, with real and direct impact on the business. Working in a small team, you’ll experience how a trading firm actually works from the inside.

About BlockTech

BlockTech is an algorithmic trading firm headquartered in Amsterdam, with a second office in Singapore. We specialize in market making and trade cryptocurrency derivatives and spot markets globally, using our own capital. We're growing fast and expanding into new markets.

Delta One is where we trade linear products: perpetual futures, futures, and spot. These are fast-moving, data-rich markets, and a good place to see a research idea meet reality quickly.

What will you do?

You will own a research project from design to deployment, guided by experienced Quantitative Researchers. Crypto is one of the markets where a researcher can move the edge, and the loop between a research idea and live PnL could not be shorter.

You will:

• Learn the markets. Start with a customized training program covering financial markets, the company, and your project.

• Own a research project. Take it from design to deployment, guided by experienced Quantitative Researchers.

• Work with linear products. Get hands-on with perpetual futures, futures, spot, and the data around them.

• See the whole system. Learn how technology and research power our trading, market data, and infrastructure systems.

• Build with the team. Collaborate with fellow quantitative researchers and software engineers to bring your project to success.

What we're looking for

You'll need:

• To be in your penultimate or final year, studying a quantitative field at a top university in Singapore.

• Availability to work full-time in Singapore for 12 weeks, starting May 10, 2027.

• Working knowledge of Python.

• Comfort with probability, statistics, and messy real-world data.

• A critical mind that follows problems through to completion, high ownership, and clear communication in English.

Dates and location

• Duration: 12 weeks, starting May 10, 2027

• Location: On-site at our Singapore office, in the heart of the financial district (CBD)

• After the summer: the opportunity to convert into a full-time role after graduation, based on performance.

What else is in it for you

• A dedicated mentor, a cohort of fellow interns, and full-time colleagues to learn from

• An in-house training program and a close look at how engineering, research, and trading work together

• An environment that embraces AI, both to speed up your work and to advance our systems

• Regular socials and celebrations

• Daily breakfast and warm lunch, plus snacks and drinks all day

How we work

We're a team of trading and tech enthusiasts with a flat hierarchy. Have an idea today, and it can ship tomorrow. The best idea wins, whoever it comes from.

You'll be challenged from day one, with a mentor and a cohort of fellow interns around you. We promote reverse leadership, give everyone an equal playing field, and invest in personal and professional development.

Excited to join us next Summer?

Make your move and apply! You can expect to hear back from us within 5 working days.

Our culture

At our core, we are a team of passionate trading and tech enthusiasts committed to revolutionizing trading through automation. Our collaborative approach ensures that everyone contributes to achieving our ambitious goals.

In this role, you will be both challenged and stretched, with ample opportunities for growth and development, both within and beyond your main responsibilities.

We invest in our people by offering competitive compensation and benefits, fostering innovation, and celebrating success. Our commitment to personal development transcends traditional norms; we provide an equal playing field, promote reverse leadership, and offer boundless growth opportunities for all our employees.

Join us to unlock your potential and drive innovation in the exciting world of algorithmic trading.