Junior Quantitative Researcher – ML Trading (Relocation)

Pinely; Amsterdam; On-site; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Relocation package to Amsterdam

Flexible workflow and working schedule

Significant biannual bonuses

Comprehensive health insurance

Biannual corporate events

Job summary

Pinely is seeking a Junior Quantitative Researcher for our Amsterdam office to analyze global markets and design and optimize profitable trading strategies with one of our trading teams.

You will work in a fast-paced, high-performance environment, supported by a world-class infrastructure team that ensures reliable experimentation at scale. The role offers relocation to Amsterdam, a flexible schedule, and the chance to collaborate with top mathematicians and programmers.

Qualifications

• 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.

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.

Skills

Python

C++

Probability theory

Mathematical statistics

Competitive programming

Machine learning

Education

Degree in Mathematics/Physics/CS

Job description

Pinely is seeking a Junior Quantitative Researcher for our Amsterdam office to analyze global markets and design and optimize profitable trading strategies with one of our trading teams.

You will work in a fast-paced, high-performance environment, supported by a world-class infrastructure team that ensures reliable experimentation at scale. The role offers relocation to Amsterdam, a flexible schedule, and the chance to collaborate with top mathematicians and programmers.