Quant Equity Researcher

Department

We are hiring an experienced Quant Equity Researcher to join our newly established Boston team. This is a hands-on research role focused on the equity markets, specifically stock selection and alpha generation—not fixed income or portfolio allocation. You’ll apply machine learning and natural language processing to develop and deploy models that enhance our systematic investment strategies.

You’ll work closely with our teams in Rotterdam and London and may occasionally travel to these offices to collaborate in person. You will report to the Head of Next-Gen Research based in Boston. This is a unique opportunity to be part of a globally connected research effort while shaping the future of quant equity investing.

Position & Requirements

• Research and identify new trends in quantitative investing, translating discoveries into actionable strategies. Initiate research ideas and ensure successful end-to-end R&D.
• Lead the development and deployment of ML and NLP models to generate alpha and optimize portfolios in global equity markets.
• Design scalable solutions with an emphasis on robustness and reliability for live trading applications.
• Mentor junior team members, encourage technical growth, and maintain high standards in modelling and coding.
• Work closely with colleagues worldwide to ensure effective collaboration and share knowledge.
• Contribute to a culture of experimentation, rigor, and continuous improvement.

Qualifications

• Extensive experience in quantitative research or model development within a hedge fund, asset manager, or leading quant-focused environment.
• Advanced degree (Master’s or PhD) in a quantitative discipline from a top global program.
• Proven track record of deploying production-grade ML/NLP models for alpha generation or risk management.
• Strong programming skills in Python; Rust is a plus.
• Deep understanding of financial markets and equity strategies, including modelling and portfolio construction.
• Hands-on experience with large-scale data pipelines.
• Ability to communicate complex ideas clearly to both technical and non-technical stakeholders.
• Team-oriented mindset with a preference for in-office collaboration (remote work is not permitted).
• Excellent communication skills in English.
• Willingness to travel occasionally to Rotterdam or London for team collaboration.

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. 

Equal opportunity employer

Robeco is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Robeco Recruiting Team