Quant Equity Researcher

Key Responsibilities

• Research and test new alpha signals.
• Work with large and alternative datasets.
• Apply ML and modern statistical methods.
• Translate academic insights into investable ideas.
• Present research internally.
• Support tooling and process improvements.

Qualifications

• Early or advanced career stage with experience in quant research (preferably equities).
• Completed MSc/PhD in a quantitative field.
• Strong programming skills (Python preferred).
• Analytical, curious, and critical thinker.
• Clear communicator with a collaborative mindset.

Bonus Experience

• Alpha research.
• ML/NLP exposure.
• Alternative data.
• Databricks, Spark, CI/CD, Docker.
• FactSet, Refinitiv, Bloomberg.

Using AI in your interview process

At Robeco, we welcome AI as a tool, and you’re very much encouraged to use it while preparing for your interviews: for example to brainstorm likely questions, practice structuring your answers, research our firm, review technical concepts and refine your CV. What matters to us is that everything you submit is genuinely yours. You should be able to explain every line of your application.

During the interviews itself, however, AI tools are not permitted. This means no AI listening in, no real-time prompts or suggestions on another device or browser, no reading or paraphrasing AI-generated answers. Using AI in these ways may affect your candidacy. Our goal is to understand how you think and what really drives you. 

Robeco Recruiting Team

Drive Innovation in Systematic Investing – Join Robeco's Quant Research Hub

We are expanding our Quant Equity Research team and are looking for a Quant Researcher to help advance the next generation of systematic equity strategies. You will work with large datasets, modern research techniques, and collaborate closely with our global teams.