Experienced Quantitative Trader

1 month ago

London, Greater London, United Kingdom Marlin Selection Ltd Full time

Job Title: Experienced Quantitative Trader

Location: Flexible

Job Overview: We are seeking an experienced Quantitative 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.

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