Quantitative Researcher | Internship | Summer '27

BlockTech; Amsterdam; On-site; EUR 11,000 - 17,000; Full time

Benefits offered by this job

Mentor program

Amsterdam office access

Breakfast & lunch provided

Job summary

BlockTech in Amsterdam is seeking a Quantitative Research Intern to join our option pricing team for the Summer of 2027, an 8–10 week program.

You will work on an end-to-end project with a mentor, collaborating with researchers and software engineers, gaining hands-on exposure to automated trading, market data and trading infrastructure, and learning how AI accelerates productivity in a trading environment.

Qualifications

• Currently in your penultimate year studying a quantitative field at a top university in Europe.
• Available full-time in Amsterdam for 8–10 weeks over the summer of 2027 starting 5 July.
• Strong Python knowledge and clear, English communication.

Responsibilities

• Participate in a customized training program to understand financial markets, BlockTech, and the project.
• Own a research project from design to deployment guided by experienced Quantitative Researchers.
• Understand how technology and research enable trading, market data, and infrastructure systems.
• Collaborate with researchers and software engineers to bring your project to success.
• Learn from experienced professionals while using cutting-edge technology.

Skills

Python

Education

Bachelor's degree in a quantitative field (in progress)

Job description

About BlockTech

BlockTech is a fast-paced algorithmic market maker at the frontier of cryptocurrency derivatives and spot markets, expanding into new markets. We employ algorithms to trade our own capital, 24/7, across some of the most data-rich venues in finance.

For the Summer of 2027, we're looking for a Quantitative Research Intern to join our option pricing team in Amsterdam.

The role

This is an 8-10 week summer internship at our Amsterdam office, giving you a unique opportunity to work on an end-to-end project with a real and direct business impact. You’ll work in a small team and get the chance to understand how a trading firm actually works from the inside.

You will:

• Participate in a customized training program that will give you an understanding of financial markets in general, the company and the project.

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

• Understand how technology and research enable our trading, market data, and infrastructure systems

• Collaborate with fellow researchers and software engineers to bring your project to success

• Learn from the best, all while leveraging cutting-edge technology

What we're looking for

• Currently in your (pen)ultimate year studying a quantitative field at a top university in Europe

• Available full-time in Amsterdam, for a duration of 8 - 10 weeks over the summer of 2027, starting on the 5th of July

• Working knowledge of Python

• A critical mind that follows things until completion, high ownership, and clear communication in English

What's in it for you?

• A summer internship in a relaxed and modern office in Amsterdam

• A dedicated mentor, a team of fellow interns and full-time quantitative researchers, an in-house training program, and exposure to how engineering, research, and trading actually work together

• The opportunity to work at the forefront of automated trading, in an environment that embraces AI to both accelerate productivity and advance our systems and models

• The opportunity to engage in various sports during working hours, including kickboxing, CrossFit, fitness, and soccer, plus regular social events including weekly Friday drinks and other celebrations

• Accommodation in Amsterdam for the duration of the program, plus daily breakfast and warm lunch, with snacks and drinks provided throughout the day.

• The opportunity to convert into a full-time role after graduation, based on performance

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.