Proprietary Quant Trader - Equities or Futures
Large global prop trading firm
Job Description
Build Alpha. Trade Capital. Own Results.
\nWe are seeking Proprietary Quant Traders with experience developing and trading intraday or mid-frequency US equities or CME listed Futures strategies . This role at a sizable trading firm focuses on alpha generation, portfolio construction, and live strategy trading/management.
\nThe successful candidate will have a demonstrated experience in research, deployment, and scaling profitable quantitative trading strategies while operating in a disciplined risk management framework.
\nKey Responsibilities
\n✔ Research and develop systematic alpha signals and trading strategie
\n✔ Design, backtest, and deploy quantitative models across US equitie
\n✔ Manage live trading strategies and monitor performance
\n✔ Optimize portfolio construction, risk allocation, and execution
\n✔ Analyze transaction costs, liquidity, and market microstructure
\n✔ Collaborate with technology and data teams to improve research and trading infrastructure
\nIdeal Candidate
\n- \n
- Proven experience tradin g systematic US equities or CME listed Futures strategies \n
- Demonstrated track record of generating strong risk-adjusted returns \n
- Hands-on, strong quantitative, statistical, and analytical skills \n
- Deep understanding of portfolio construction and risk management \n
- Experience taking strategies from idea generation through production deployment \n
- Ability to operate independently and drive research initiatives \n
Technical Skills/Requirements
\n- \n
- Python or similar \n
- Quantitative research and backtesting frameworks \n
Data analysis and statistical mode ling
\nPreferred
\n- \n
- Machine learning techniques \n
- Alternative data research \n
What You'll Get
\n- \n
- Access to institutional-grade data, technology, and execution infrastructure \n
- Significant autonomy to develop and trade your own ideas \n
- VERY competitive compensation, high payout (quarterly), NO non-compete, 100% Remote \n
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