Junior Quantitative Researcher – ML Trading (Relocation)

pinely; Amsterdam; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Relocation package to Amsterdam

Flexible workflow

Biannual bonuses

Comprehensive health insurance

Sports reimbursement

Job summary

Pinely, based in Amsterdam, is seeking a Junior Quantitative Researcher to join a trading team analyzing global markets and crafting profitable strategies. You will work in a fast-paced environment with production-ready experiments and a world-class infrastructure group, enjoying autonomy and direct ownership.

Key focus areas include developing algorithms, applying ML and statistical models, and collaborating with developers to deploy improvements.

Qualifications

• Requires degree in a quantitative discipline (math/physics/CS or related).
• Strong grasp of probability and statistics required.
• Proven competitive programming performance (IMO/IOI/ICPC etc.).
• Proficient in Python; some C++ experience preferred.

Responsibilities

• Develop and improve trading algorithms using statistical models and ML techniques.
• Analyze high-frequency trading strategies and market microstructure for new opportunities.
• Collaborate with developers and researchers to implement and optimize trading strategies.
• Support senior researchers in quantitative strategy design and refinement.

Skills

Probability theory

Mathematical statistics

Competitive programming

Python proficiency

Machine learning familiarity

Education

Bachelor's degree in mathematics/physics/computer science or quantitative field

Tools

Python

C++

Job description

We are looking for a Junior Quantitative Researcher for our Amsterdam office who will join one of our trading teams to analyze global markets and create and optimize profitable trading strategies. Researchers at Pinely benefit from working in a fast-paced HFT environment, where the impact of their ideas is quickly visible in production. The research teams are supported by a world-class infrastructure group that ensures smooth deployment and reliable experimentation at scale. Our flat organizational structure encourages autonomy, creativity, and direct ownership. We value an informal, idea-driven culture where innovation is celebrated and every contribution matters. Join us if you feel that the role is a good fit for you!

Responsibilities

• Developing and improving trading algorithms using statistical models and machine learning techniques;
• Analyzing high-frequency trading strategies and market microstructure to identify new trading opportunities;
• Collaborating with developers and other researchers to implement and optimize trading strategies;
• Contributing to the improvement of existing trading strategies and assisting senior researchers in quantitative strategy design.

Requirements

• A degree in mathematics, physics, computer science, or another quantitative discipline;
• Strong understanding of probability theory and mathematical statistics;
• Demonstrated exceptional performance in mathematical competitions or competitive programming contests (IMO, IOI, ICPC, IMC, Google Code Jam, Facebook Hacker Cup, etc.);
• Proficient in Python;
• Some experience with C++, although not necessarily in an industrial setting;
• Knowledge of machine learning and familiarity with contemporary methodologies would be beneficial;

What we offer

• High base salary plus significant biannual bonuses;
• Relocation package to Amsterdam (we are very flexible in discussing salary and conditions of employment);
• Flexible workflow and working schedule;
• Being part of a team with top winners in mathematics and programming competitions;
• Cutting-edge hardware and software in production as well as high technical expertise of the company which allows implementation of ideas and boosts great results;
• Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events.