We are Pinely, a high-frequency algorithmic trading firm based in Amsterdam.
Our team specializes in developing robust and adaptive strategies applicable across a wide range of financial instruments and exchanges. We actively support the Olympiad movement, and many of our colleagues are prize-winning mathematicians, researchers and engineers.
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.
We are excited to announce an opportunity for a Junior Deep Learning Researcher to join our Amsterdam-based office.
Responsibilities
• Conduct original research in the areas of artificial intelligence, machine learning, and related quantitative fields.
• Develop and experiment with modern deep learning architectures
• Analyze large, unstructured, and noisy datasets to extract meaningful insights
• Collaborating with developers and other researchers to implement and optimize trading strategies.
• Continually explore new methodologies and technologies to enhance research outcomes
• A degree in mathematics, physics, computer science, or another quantitative discipline (or expectation of such a degree within the next year)
• Knowledge of machine learning, probability theory and mathematical statistics.
• Proficiency in Python .
• Some experience with C++ , although not necessarily in an industrial setting.
• Practical experience with modern DL architecture.
• Background in analyzing large, unstructured, and noisy datasets.
• Would be beneficial: Published research findings in top-tier journals and conferences (ICML, NeurIPS, ICLR, CVPR, ICCV).