Quant Equity Researcher

Robeco • Boston, MA

7d • Onsite

About The Position

Robeco is hiring an experienced Quant Equity Researcher to join its newly established Boston team. This hands-on research role focuses on equity markets, 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 works closely with teams in Rotterdam and London, with occasional travel to those offices for in-person collaboration. It reports to the Head of Next-Gen Research, based in Boston.

The successful candidate will contribute to a globally connected research effort and help shape the future of quantitative equity investing. Robeco welcomes the use of AI tools in interview preparation, but prohibits their use during interviews. The company is an equal opportunity employer, treats applications confidentially, and may use an assessment and integrity test in its selection process.

Requirements

• 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 machine learning or natural language processing models for alpha generation or risk management.
• Strong Python programming skills.
• 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 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 experience.

Responsibilities

• Research and identify new trends in quantitative investing, translating discoveries into actionable strategies.
• Initiate research ideas and ensure successful end-to-end research and development.
• Lead the development and deployment of machine learning and natural language processing models to generate alpha and optimize portfolios in global equity markets.
• Design scalable solutions that are robust and reliable for live trading applications.
• Mentor junior team members, support their technical growth, and maintain high standards in modelling 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