Portfolio Manager

Job not on LinkedIn

🔥 15 minutes ago

🌐 Taiwan, Singapore, +1 more countries – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

👔 Manager

👻 Ghost score 15%

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Logo of hermeneutic Investments

hermeneutic Investments

11 - 50 employees

💸 Finance

Finance

hermeneutic Investments is a proprietary trading firm and hedge fund that deploys research-driven discretionary and systematic trading strategies while also making strategic long-term investments. The firm emphasizes alpha generation, open debate, relentless iteration, teamwork, and a strong, hard-wired approach to risk management and opportunistic market participation. Partners bring a decade-long track record in trading and business building, and the firm positions itself for continued expansion in challenging market environments.

📋 Description

• Build and manage a systematic trading portfolio focused on digital asset markets. • Collaborate with researchers and engineers to design, backtest, and deploy scalable systematic strategies across digital asset markets. • Research and identify differentiated sources of alpha using quantitative and systematic approaches. • Architect an automated portfolio allocation framework, optimizing capital efficiency, margin deployment, and collateral across fragmented digital asset venues while enforcing drawdown and concentration limits. • Oversee automated trade execution, minimizing slippage and market impact. • Implement real-time risk frameworks to monitor exposures, tail risks, and operational vulnerabilities in 24/7 markets. • Develop and deploy strategies across multiple centralized and decentralized crypto markets where applicable.

🎯 Requirements

• A degree in Finance, Mathematics, Statistics, Computer Science, or a related field. • Strong experience in systematic trading, with a proven track record in developing and managing trading strategies. • Proficiency in programming languages such as Python, R, or C++, along with experience in data analysis and statistical modeling. • Robust understanding of financial markets, including equities, derivatives, and other asset classes. • Experience with portfolio construction, risk management techniques, and performance measurement. • Excellent English communication and collaboration skills. • Experience with machine learning applications in trading is preferred. • Advanced degree (Master's or PhD) in a quantitative discipline is preferred.

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