BlockTech logo

AI Quantitative Researcher | Internship | '27

Hiring from
Netherlands
Work type
Hybrid
Posted

626,303 remote jobs, straight from company career pages

100% free · New jobs every minute

Show job description

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.

We’re looking for a AI Quantitative Research Intern to join our researchers and traders in Amsterdam. You'll join our option pricing team and work alongside experienced Quantitative Researchers, Traders and Analysts, with a dedicated mentor guiding your project.

What will you do?

You’ll have the opportunity to help shape an emerging field, taking ownership of designing and improving our agent-driven research framework. You’ll have the freedom to explore new approaches, pioneer solutions, and make a meaningful impact on how we conduct research.

You will:

  • Architect our agent-driven research framework, designing networks of agents and harnesses.

  • Design research pipelines and experimentation loops with quants and traders.

  • Build evaluation and feedback mechanisms that show what’s working and what isn’t.

  • Own the framework in use: track how it performs and keep improving it.

  • Share what you learn, so the team keeps improving its AI setup.

What we’re looking for

You’ll need:

  • To have a background in a highly quantitative field, with a focus on AI (MSc or PhD)

  • At least 6 months of practical experience with LLMs, agents, and harnesses.

  • Comfort designing evaluation and feedback loops that tell you whether an agent is actually improving.

  • High ownership and clear communication.

  • Availability to start in (early) 2027, full-time and on-site in Amsterdam, for a minimum of 12 weeks.

Nice to have

  • Experience using AI for quantitative research, such as working on math problems.

  • Python, and exposure to trading.

Dates, location, and accommodation

  • Duration: From 12 to 16 weeks, with flexible duration and start date.

  • Location: On-site at our Amsterdam office.

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

What else is in it for you

  • A dedicated mentor and a great team of 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.

  • Sports during working hours: kickboxing, CrossFit, fitness, and soccer.

  • Weekly Friday drinks and other celebrations.

  • Daily breakfast and warm lunch, plus snacks and soft 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 diverse team around you. We promote reverse leadership, give everyone an equal playing field, and invest in personal and professional development.

Excited to join us?

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.

Similar jobs

Apply for this job100% free