Jobs 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.

As a C++ Developer Intern, you will assist experienced engineers in solving multi-threaded computing challenges and optimizing code for performance, while potentially working on low-latency trading projects.

Lead and grow an ML infrastructure team building training frameworks, dataset pipelines, orchestration, experiment tracking, GPU/compute infrastructure, and release tooling to scale deep learning research into production. Drive performance, reliability, reproducibility, hire and mentor engineers, collaborate closely with researchers, and contribute hands‑on code to reduce training time and improve hardware utilization.

The Research Analyst will optimize production systems using advanced analytics and machine learning, focusing on statistical analysis, performance metrics, and data-driven decision-making.

Conduct original research in AI and machine learning, develop deep learning architectures, analyze large datasets, and explore new methodologies.

Design and maintain high-performance trading systems, optimize algorithms and hardware, and collaborate with teams to enhance trading operations.

The Lead Quantitative Developer will oversee the team's strategy codebase, mentor engineers, manage priorities, drive alignment with infrastructure, and enhance research cycles using AI tools.

As a Junior Deep Learning Researcher, you will conduct AI research, develop deep learning architectures, analyze datasets, and collaborate on trading strategies.

The intern will work on developing and optimizing high-frequency trading strategies, analyzing market data, and collaborating with researchers and developers in quantitative finance.

As a Machine Learning Research Intern, you will conduct research on HFT strategies, analyze market opportunities, and collaborate on strategy implementation using ML techniques.

Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.

Optimize ML model training pipelines for speed and reliability, applying GPU optimization techniques and mentoring team members on performance best practices.

The Senior Quantitative Researcher will lead the development and deployment of ML-based statistical arbitrage strategies while mentoring team members and collaborating with internal teams.

As a Quantitative Developer, you will bridge research and development, improving trading strategies and infrastructure while writing high-quality code.