Quantitative Researcher

6 days ago

London, Greater London, United Kingdom eMFusion Global Full time £60,000 - £120,000 per year

Quantitative Researcher (Quant Researcher) - Hedge Fund

Location: London, UK

Employment Type: Permanent

Salary: Competitive, based on experience

About the Role:

A leading hedge fund is seeking a highly motivated Quantitative Researcher (Quant Researcher) to join their dynamic investment team. The successful candidate will play a key role in developing and enhancing systematic trading strategies by leveraging advanced quantitative techniques, statistical models, and data-driven insights.

Key Responsibilities:

  • Conduct research and analysis on financial markets to identify trading opportunities across multiple asset classes.

  • Develop, implement, and optimize quantitative models for alpha generation, risk management, and portfolio optimization.

  • Utilize large datasets to uncover patterns and insights using statistical and machine learning techniques.

  • Collaborate closely with portfolio managers, traders, and quantitative developers to implement research ideas into production.

  • Backtest and validate trading strategies to ensure robustness and scalability.

  • Continuously monitor and refine models to adapt to changing market conditions.

  • Document research findings and methodologies to facilitate transparency and reproducibility.

  • Stay informed on the latest academic research and industry best practices to drive innovation.

Key Skills and Experience Required:

  • A Master's or PhD in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, or Financial Engineering.

  • Proven experience in quantitative research within a hedge fund, proprietary trading firm, or financial institution.

  • Strong programming skills in Python, C++, or R, with experience in data manipulation, statistical modeling, and algorithm development.

  • In-depth understanding of financial markets, instruments, and trading strategies.

  • Proficiency in statistical and machine learning techniques such as time series analysis, regression models, and clustering.

  • Experience with backtesting frameworks and simulation methodologies.

  • Excellent problem-solving skills and the ability to work independently in a fast-paced environment.

  • Strong communication skills to convey complex ideas to both technical and non-technical stakeholders.

Desirable Skills:

  • Experience with alternative data sources and data engineering techniques.

  • Knowledge of cloud computing and big data technologies.

  • Familiarity with high-performance computing and parallel processing.

  • Experience in working with execution algorithms and market microstructure analysis.

  • Exposure to regulatory considerations and compliance requirements in systematic trading.

Benefits:

  • Highly competitive compensation package with performance-based bonuses.

  • Opportunity to work with cutting-edge technology and data science tools.

  • Collaborative and intellectually stimulating work environment.

  • Professional development opportunities and support for continued learning.

  • Comprehensive benefits including health insurance, pension plans, and flexible working arrangements.

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