Quantitative Researcher (Systematic US Equities)
About The Position
BHFT is building a new systematic US equities trading initiative and seeks an experienced Quantitative Researcher to develop and launch trading strategies. The role involves hands-on, end-to-end ownership of the trading lifecycle, from alpha discovery and strategy development through live deployment, performance optimization, and P&L generation. The researcher will shape trading ideas, influence technical decisions, and work closely with trading and engineering teams to bring strategies into production. The focus is on systematic US equities, particularly intraday and medium-frequency opportunities.
Requirements
- 5+ years of experience in systematic US equities trading or quantitative research.
- Hands-on experience developing alpha signals and contributing to systematic trading strategies.
- Strong understanding of US equity market microstructure, portfolio construction, and risk management.
- Experience with intraday and/or medium-frequency strategies, including active portfolio rebalancing.
- Strong quantitative and analytical skills, with proficiency in Python.
- Ability to understand trading strategies end-to-end and translate research ideas into actionable trading decisions.
- Motivation to take ownership of trading strategies and their performance.
Nice To Haves
- Experience with statistical arbitrage and mean-reversion strategies.
- Experience with factor models and short-term alpha prediction.
- Experience with ETF arbitrage.
- Experience with event-driven trading.
- Experience with market making and execution alpha.
- Experience with M&A and earnings releases.
- Experience taking strategies from research to live trading.
Responsibilities
- Research and develop systematic trading strategies across US equities, focusing on intraday and medium-frequency opportunities.
- Identify and evaluate alpha signals using market data, statistical models, and market microstructure insights.
- Own the research-to-production lifecycle, including idea generation, backtesting, validation, deployment, and ongoing optimization.
- Develop and improve portfolio construction, risk management, and execution approaches.
- Monitor live strategy performance, identify opportunities for improvement, and contribute directly to trading P&L.
- Collaborate with trading and engineering teams on infrastructure, analytics, and strategy implementation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
