Portfolio Manager (Equities  - High Frequency Trading)

Position Overview:

Our client is a fund management company specializing in algorithmic trading across global financial markets. They offer an independent pod-based structure, offering traders / PM’s / trading teams access to advanced, low-latency trading technology complemented by a deep bench of technological, operational and support services.

Currently they trade between ~2% of the U.S. Equities markets, realizing top tiers across all major Exchanges and ATS’s. In rapid growth mode, they are actively recruiting seeking to hire experienced Portfolio Managers / Traders for their U.S. Equities high-frequency trading business.  

Our client offers a fully remote accessible platform offering a purely incentive based compensation program (not base / bonus) allowing a successful Portfolio Manager the opportunity to maximize their earnings potential.  In addition, they do not require a binding non-compete agreement, and will not lock up your intellectual property, offering a very attractive home for the right person.

The organization currently employs several experienced Portfolio Managers / Traders that have come from the industry’s most prestigious firms.  

Working individually / within a pod Portfolio Managers will be responsible for:

• Investing assets, overseeing the investment strategy / all trades of the portfolio while maintaining key analytics to maximize returns.  
• Building and managing a strong and dynamic Equities high-frequency focused portfolio.  
• Ensuring delivery of portfolio commitments adheres to the appropriate governance guidelines, including any regulatory/legal restrictions that may impact the portfolio, while maximizing book income.  
• Developing and executing trading strategies and play a key role in managing portfolio construction and risk.
• Portfolio Managers will collaborate regularly with the Managing Member / Founder on improving and refining their strategies, and receive best in class support to maintain consistent performance. 

Ideal Candidates will have:

• Several years of proven / validated experience (ideally) with U.S. Equities HFT portfolio management / trading
• Expertise working with fully automated and proven algorithmic / quantitative trading strategies.
• Technical expertise with a preference for C++ and / or Python.  Others considered
• Minimum Sharpe of 3.0+ w/ prior 2+ years of historical performance
• Ability to be self-sufficient and work from anywhere (location agnostic)