Teams at Robeco

Develops market impact, volume, volatility, and execution models for an equity trading desk. Uses statistics, machine learning, reinforcement learning, stochastic methods, and optimization to improve pre-trade and real-time execution decisions. Analyzes large intraday datasets, builds data infrastructure, evaluates broker algorithms, and communicates findings through tools, dashboards, and reports. Requires strong Python and quantitative research skills, financial-market affinity, Azure familiarity, and the ability to explain complex concepts clearly.

Six-month quantitative research internship for master's students, involving quantitative model development, data analysis, programming, large datasets, result interpretation, and presentation. Interns work on projects spanning factor investing, machine learning, data engineering, NLP, trading and liquidity, or sustainability, supervised by experienced researchers. Applicants may complete a company-supervised thesis or conduct a non-thesis applied research project.

Supports Azure and Azure DevOps platform adoption, Infrastructure as Code, CI/CD pipelines, PowerShell automation, monitoring, troubleshooting, security, and compliance. Collaborates with development teams, architects, product owners, and senior engineers in an Agile environment while developing cloud engineering expertise.