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Remote Senior Quantitative Analyst - Algorithmic Trading

Anzeige auf Englisch

ArbeitsortMossel Bay
HomeofficeVollständig remote

About the Role

Our client, a cutting-edge quantitative hedge fund, is seeking a highly skilled Senior Quantitative Analyst to join their elite, remote-first trading strategy team. This position is critical for designing, developing, and implementing sophisticated algorithmic trading strategies across various asset classes. The role is entirely remote, demanding a high degree of self-discipline, proactivity, and exceptional communication skills to collaborate effectively with a distributed global team. You will leverage advanced statistical modeling, machine learning, and data analysis techniques to generate alpha and drive portfolio performance. This is a unique opportunity to work on challenging problems with significant impact from anywhere, ideally located in or near Mossel Bay, Western Cape , but requiring no physical presence.

Key Responsibilities

  • Research, design, and backtest quantitative trading strategies using historical and real-time market data.
  • Develop and implement robust statistical and machine learning models for prediction and decision-making.
  • Collaborate with traders and portfolio managers to refine strategy ideas and execution methodologies.
  • Optimize trading algorithms for performance, scalability, and robustness across different market conditions.
  • Conduct rigorous performance analysis and risk assessment of deployed strategies.
  • Maintain and enhance the existing codebase for quantitative research and trading systems.
  • Stay current with academic research and industry advancements in quantitative finance and data science.
  • Work closely with software engineers to ensure seamless integration of strategies into production environments.
  • Contribute to the continuous improvement of the quantitative research platform and methodologies.

Requirements

  • PhD or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
  • Minimum of 7 years of experience in quantitative research and algorithmic trading, preferably within a hedge fund or prop trading environment.
  • Proven track record of developing and deploying successful trading strategies.
  • Expertise in programming languages such as Python, C++, or R, with extensive experience in data analysis libraries (e.g., NumPy, Pandas, SciPy).
  • Deep understanding of statistical modeling, time series analysis, machine learning, and financial econometrics.
  • Familiarity with various asset classes (equities, futures, FX, options) and their market microstructure.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication and collaboration skills, essential for a remote, team-oriented environment.
  • Ability to work independently, manage priorities effectively, and deliver high-quality results under pressure.

Benefits

  • This contractor role offers an exceptionally competitive performance-based compensation structure, including a significant profit-sharing component.
  • Our client provides flexibility in working hours and location.
  • Access to state-of-the-art research tools and significant computational resources is provided.
  • This is a fully remote position, offering unparalleled autonomy for professionals residing anywhere, with a preference for individuals in or around Mossel Bay, Western Cape .

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