End-to-End Quantitative Trading Strategist

Sage Trading; San Jose, Northern (CA, KY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Sage Trading is seeking a quantitative researcher to design, validate, and deploy trading strategies end-to-end—from signal research to live execution in a fast-paced setting. You will own strategy performance, apply advanced statistics and ML where it adds value, and defend every modeling choice with data.

Collaboration with engineers/researchers will emphasize reproducibility and rigorous experimentation.

Qualifications

• 2+ years in quantitative research or systematic trading, or an outstanding research track record (publications welcome).
• Deep statistics/ML plus strong engineering: your ideas should survive contact with production.
• Evidence over ego — you change your mind when the data tells you to.

Responsibilities

• Take strategies from hypothesis to live deployment, and own their performance.
• Apply modern machine learning and AI where it genuinely earns its place — and defend every modeling choice with evidence.
• Set the standard for reproducible research across the firm, and mentor early-career researchers.

Skills

Quantitative research

Systematic trading

Machine learning

Statistics

Engineering

Job description

Sage Trading is seeking a quantitative researcher to design, validate, and deploy trading strategies end-to-end—from signal research to live execution in a fast-paced setting. You will own strategy performance, apply advanced statistics and ML where it adds value, and defend every modeling choice with data.

Collaboration with engineers/researchers will emphasize reproducibility and rigorous experimentation.