Job Title: Quant Trader / Portfolio Manager (Algorithmic Trading Strategies)
Location: Flexible
Position Overview: We are seeking an experienced Quant Trader or Portfolio Manager with a proven track record in running algorithmic and AI-driven trading strategies. The ideal candidate will have at least 5 years of successful experience in developing and executing systematic trading strategies across global markets. We are looking to commit AUM to the chosen trading strategy, offering a percentage of the management fee and net profit in return.
Key Responsibilities:
- Develop, implement, and optimize algorithmic trading strategies across multiple asset classes.
- Manage and execute trades based on AI-driven models, ensuring effective risk management and optimization of returns.
- Continuously research and refine models, back-testing strategies, and evaluating performance in live markets.
- Collaborate with internal teams to align trading strategies with broader portfolio goals and risk parameters.
- Provide detailed reporting and analysis of strategy performance, including risk metrics and profitability.
- Maintain and enhance proprietary trading infrastructure, including AI models and algorithmic frameworks.
- Stay updated on the latest trends and technologies in quantitative finance, algorithmic trading, and AI applications.
Qualifications:
- Minimum of 5 years of experience in running algorithmic and AI-based trading strategies with a strong, verifiable performance track record.
- Expertise in quantitative analysis, statistics, and financial modeling.
- Proficiency in programming languages such as Python, R, or C++.
- In-depth knowledge of market microstructure, trading algorithms, and high-frequency trading (HFT).
- Strong analytical skills and experience with back-testing and simulation frameworks.
- Excellent risk management and portfolio optimization skills.
- Ability to work independently and in a collaborative environment.
Preferred Experience:
- Experience managing significant AUM using algorithmic strategies.
- Knowledge of various asset classes, including equities, fixed income, commodities, and FX.
- Proven ability to innovate and adapt strategies based on changing market conditions.
Compensation Structure:
- A percentage of management fees based on AUM committed.
- A percentage of net profit based on performance.
What We Offer:
- The opportunity to scale your trading strategies with committed AUM.
- A collaborative environment with the resources and support to optimize performance.
- Competitive and performance-based compensation structure.