AI Quantitative Researcher

Goliath-Partners; New York (NY); On-site; USD 350,000 - 1,500,000; Full time

Job summary

Goliath-Partners, a premier quantitative trading firm in New York, seeks an ML researcher to advance alpha research beyond traditional statistics. You will design, train, and deploy ML models across liquid markets, owning the full research-to-production pipeline.

Ideal candidates have 2–5 years in ML applied to quantitative research or trading, strong foundations in statistics and time-series methods, and proficiency in Python and C++.

Job description

Top-tier systematic trading firm hiring an ML researcher to push the firm's alpha research beyond classical statistical methods.

Compensation

• Base: $350K
• Total Comp: $1M-1.5M
• Structure: Base + Sign-on Bonus + P&L attachment + performance bonus

Role Description

• Design, train, and deploy ML models (deep learning, NLP, reinforcement learning, or large-scale ensemble methods) for alpha generation across equities, futures, and other liquid markets
• Own the full pipeline from research and backtesting to live production deployment
• Mine large, noisy, non-stationary financial datasets to engineer features and signals that hold up out-of-sample
• Collaborate with quant researchers, engineers, and traders to integrate ML-driven signals into existing systematic strategies

Ideal Candidate

• 2 to 5 years of experience applying machine learning in a quantitative research, trading, or comparable high-stakes production environment
• Strong foundations in statistics, applied ML, and time-series/panel data methods; healthy skepticism about overfitting in noisy financial data
• Proficiency in Python and/or C++; experience with large-scale data pipelines and model deployment infrastructure
• PhD or 2 years of industry experience in ML, statistics, CS, or a related quantitative field a strong plus

Will wait up to 12 months non-compete.