Teams at pinely

Leads execution research across two equity markets, setting strategy and research roadmaps for trading algorithms. Applies statistics, stochastic calculus, machine learning, and high-frequency time-series analysis to model market dynamics and optimize latency-sensitive decisions. Rapidly tests and deploys models in production while managing and mentoring researchers and collaborating with engineers and analysts. The role is based primarily in Amsterdam with relocation support.

Build and own machine learning infrastructure supporting deep learning research and production trading systems. Responsibilities include improving training frameworks, datasets, data pipelines, distributed training, experiment tracking, reproducibility, observability, GPU infrastructure, and model deployment tooling. The role partners closely with researchers to remove bottlenecks, debug complex systems, improve reliability and performance, and convert research prototypes into scalable production implementations.

As a Junior Quantitative Researcher, you will develop and optimize trading algorithms, analyze market strategies, and collaborate with developers to enhance trading opportunities.