Quantitative Researcher: Equities Signals in Production

Evolve Group; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Evolve Group is seeking a Quantitative Researcher for its central equities research team in New York. You will own ideas from hypothesis through production, building and refining predictive signals and working with traders and engineers to deploy them live.

You should have 2+ years in quant research, a track record of production signals, strong Python skills (C++ a plus), and a solid grounding in statistics and time-series analysis with rigorous backtesting.

Qualifications

• 2+ years in a quantitative research role, focusing on alpha generation in equities.
• Proven track record of predictive signals or systematic strategies in production.
• Strong programming with Python; C++ or similar is a plus.
• Deep grounding in statistics, ML and time-series analysis with rigorous backtesting.
• Strong communication, able to explain findings to PMs and cross-functional teams.
• Experience with alternative data or cross-sectional equity models is desirable.

Responsibilities

• Own ideas end to end from hypothesis to production, building predictive signals.
• Develop and refine signals and backtest rigorously against datasets.
• Collaborate with traders and engineers to deploy models live.

Skills

Python

Statistics

Time-series analysis

Machine learning

Communication

Cross-functional collaboration

Education

Master's or PhD in quantitative field

Tools

C++

Job description

Evolve Group is seeking a Quantitative Researcher for its central equities research team in New York. You will own ideas from hypothesis through production, building and refining predictive signals and working with traders and engineers to deploy them live.

You should have 2+ years in quant research, a track record of production signals, strong Python skills (C++ a plus), and a solid grounding in statistics and time-series analysis with rigorous backtesting.