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.