Senior Quantitative Trader
4 weeks ago
Oxford Knight is a leading global trading firm that leverages cutting-edge quantitative research, advanced proprietary technology, and sophisticated strategies to actively trade in financial markets. Our mission is to exploit market inefficiencies through data-driven decision-making, advanced algorithmic trading, and rigorous risk management.
Job Summary
We are seeking a highly skilled Portfolio Manager specializing in Mid-Frequency Trading to join our elite team of market professionals. As a key member of our trading team, you will be responsible for developing, refining, and executing mid-frequency market-neutral strategies. You will work closely with quantitative research and development teams to contribute to model enhancements and drive trading performance.
Key Responsibilities
- Develop and manage market-neutral trading strategies with mid-frequency time horizons.
- Continuously monitor portfolio performance and adapt strategies based on market dynamics.
- Collaborate with quantitative researchers and software engineers to enhance trading models and technology.
- Manage portfolio risks and ensure alignment with established risk parameters and drawdown limits.
- Explore and assess new markets and asset classes to expand trading strategies.
- Optimize execution processes to improve efficiency and profitability.
Requirements
- A proven ability to generate significant alpha with strong risk-adjusted returns, demonstrated by a Sharpe Ratio of 2 or higher.
- A degree in quantitative finance, mathematics, computer science, engineering, or a related field from a top-tier institution.
- Demonstrated experience in creating and managing profitable mid-frequency trading strategies.
- Strong coding skills (Python, C++, or similar languages) for quantitative research and algorithm development.
- Expertise in market-neutral, algorithmic trading strategies across asset classes such as equities or futures.
- A solid understanding of risk metrics, portfolio management, and capital allocation strategies.
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