Quant Researcher: ML/NLP Alpha in Equity (Hybrid)

Robeco; Boston (MA); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Robeco's Quant Research Hub in Boston seeks an experienced Quant Researcher to advance systematic equity strategies. You will work with large datasets, ML/NLP, and collaborate with global teams to deploy models that enhance investment processes.

The role focuses on equity markets, stock selection, and alpha generation, with travel to Rotterdam and London as needed. Strong Python and advanced quantitative degrees are required.

Qualifications

• Extensive experience in quantitative research or model development in hedge funds, asset managers, or leading quant environments.
• Proven track record deploying production-grade ML/NLP models for alpha generation or risk management.
• Strong programming skills in Python; Rust is a plus.

Responsibilities

• Research and identify new trends in quantitative investing; translate discoveries into actionable strategies and lead 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, robust, live-trading-ready systems.
• Mentor junior team members and promote high standards in modelling and coding.
• Collaborate with global teams to ensure knowledge sharing and alignment.

Skills

Quantitative research

ML/NLP deployment

Python

Data pipelines

Financial markets knowledge

Education

Master's or PhD in a quantitative discipline

Tools

Rust

Job description

Robeco's Quant Research Hub in Boston seeks an experienced Quant Researcher to advance systematic equity strategies. You will work with large datasets, ML/NLP, and collaborate with global teams to deploy models that enhance investment processes.

The role focuses on equity markets, stock selection, and alpha generation, with travel to Rotterdam and London as needed. Strong Python and advanced quantitative degrees are required.