Next Gen Quant Equity Researcher

Robeco • Boston, MA

2d • Onsite

About The Position

Robeco is hiring an experienced Next Gen Quant Equity Researcher for its newly established Boston team. This hands-on research role focuses on equity stock selection and alpha generation, rather than fixed income or portfolio allocation. The researcher will apply machine learning and natural language processing to develop and deploy models that enhance systematic investment strategies. The role involves close collaboration with teams in Rotterdam and London, with occasional travel to those offices, and reports to the Head of Next-Gen Research in Boston. The position offers an opportunity to contribute to a globally connected research effort and shape the future of quantitative equity investing.

Robeco welcomes applicants’ use of AI tools while preparing for interviews, but AI tools are not permitted during interviews, including for listening, prompts, suggestions, or reading or paraphrasing AI-generated answers. Applicants should be able to explain all material submitted. Robeco is an equal opportunity employer and treats applications confidentially. An assessment and integrity test may be used in the selection process.

Requirements

• Extensive experience in quantitative research or model development within a hedge fund, asset manager, or leading quantitative-focused environment.
• An advanced degree (Master’s or PhD) in a quantitative discipline from a top global program.
• A proven track record of deploying production-grade machine learning or natural language processing models for alpha generation or risk management.
• Strong programming skills in Python.
• Deep understanding of financial markets and equity strategies, including modeling and portfolio construction.
• Hands-on experience with large-scale data pipelines.
• Ability to communicate complex ideas clearly to technical and non-technical stakeholders.
• Team-oriented mindset and 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.

Nice To Haves

• Rust programming skills.

Responsibilities

• Research and identify new trends in quantitative investing and translate discoveries into actionable strategies.
• Initiate research ideas and ensure successful end-to-end research and development.
• Lead development and deployment of machine learning and natural language processing models for alpha generation and portfolio optimization in global equity markets.
• Design scalable, robust, and reliable solutions for live trading applications.
• Mentor junior team members, support their technical growth, and maintain high standards in modeling and coding.
• Collaborate with colleagues worldwide and share knowledge.
• Contribute to a culture of experimentation, rigor, and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior