Quantitative Researcher & Trader / Portfolio Manager (HFT / MFT) (Philadelphia C
Proprietary Trading Firm (Undisclosed), Phila, PA, United States
Key Responsibilities
Develop and execute trading strategies across Options / Equities / Commodities.
Utilize fundamental, quantitative, and/or systematic approaches to identify trading opportunities.
Drive alpha generation while maintaining strict discipline on risk and exposure.
Monitor market dynamics and macro/micro events to adjust strategy in real-time.
Collaborate with quants, data scientists, and engineers to refine models and tools.
Contribute to portfolio construction, optimization, and capital allocation decisions.
Establish risk controls, performance metrics, and operational checks for your strategies.
Maintain research pipelines to explore new signals, assets, and markets.
Qualifications
3–7+ years of hands-on trading or portfolio management experience in one or more areas: Options / Long-Short / Equities / Commodities.
Proven track record of generating consistent risk-adjusted returns.
Degree in a quantitative, financial, or technical field (e.g., Statistics, Computer Science, Economics, Engineering).
Proficiency in Python (required); experience with C++ is a plus.
Deep understanding of market microstructure, execution, and trading platforms.
Experience with systematic and/or discretionary models across intraday to multi-day horizons.
Strong analytical mindset and ability to handle large, noisy datasets.
Excellent communication skills and ability to work collaboratively in a fast-paced environment.
Professional integrity and a strong network in the trading/investment community.
Develop and execute trading strategies across Options / Equities / Commodities.
Utilize fundamental, quantitative, and/or systematic approaches to identify trading opportunities.
Drive alpha generation while maintaining strict discipline on risk and exposure.
Monitor market dynamics and macro/micro events to adjust strategy in real-time.
Collaborate with quants, data scientists, and engineers to refine models and tools.
Contribute to portfolio construction, optimization, and capital allocation decisions.
Establish risk controls, performance metrics, and operational checks for your strategies.
Maintain research pipelines to explore new signals, assets, and markets.
Qualifications
3–7+ years of hands-on trading or portfolio management experience in one or more areas: Options / Long-Short / Equities / Commodities.
Proven track record of generating consistent risk-adjusted returns.
Degree in a quantitative, financial, or technical field (e.g., Statistics, Computer Science, Economics, Engineering).
Proficiency in Python (required); experience with C++ is a plus.
Deep understanding of market microstructure, execution, and trading platforms.
Experience with systematic and/or discretionary models across intraday to multi-day horizons.
Strong analytical mindset and ability to handle large, noisy datasets.
Excellent communication skills and ability to work collaboratively in a fast-paced environment.
Professional integrity and a strong network in the trading/investment community.