Mid-Frequency Portfolio Manager - London / Dubai / Remote- Confidential Leading Trading Firm- R[...]

Are you looking to elevate your trading career with a dynamic and innovative trading firm that sits at the forefront of financial technology? My client is seeking a Portfolio Manager specializing in Mid-Frequency Trading to join their elite team of market professionals.

About Them: They are a global trading firm that uses cutting-edge quantitative research, advanced proprietary technology, and sophisticated strategies to actively trade in financial markets. Their mission is to exploit market inefficiencies through data-driven decision-making, advanced algorithmic trading, and rigorous risk management. My client cultivates a collaborative and forward-thinking environment, continually striving to stay ahead of the curve in an ever-changing market.

What You'll Do: As a Mid-Frequency Portfolio Manager, you will have a critical role in managing and optimizing proprietary trading strategies across global markets. You'll be responsible for developing, refining, and executing mid-frequency market-neutral strategies. Working closely with quantitative research and development teams, you'll contribute to model enhancements and drive trading performance. Key responsibilities include:

• 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:

• Sharpe Ratio of 2 or higher: A proven ability to generate significant alpha with strong risk-adjusted returns.
• Strong academic credentials: A degree in quantitative finance, mathematics, computer science, engineering, or a related field from a top-tier institution.
• Track record of success: Demonstrated experience in creating and managing profitable mid-frequency trading strategies.
• Proficiency in programming: Strong coding skills (Python, C++, or similar languages) for quantitative research and algorithm development.
• Experience in systematic trading: Expertise in market-neutral, algorithmic trading strategies across asset classes such as equities or futures.
• Risk management expertise: Solid understanding of risk metrics, portfolio management, and capital allocation strategies.