Open roleExternal
Quantitative Analyst (Quant)
- manchester, greater manchester, M3 1WU, United Kingdom
- Remote
- Full time
- £90,000 - £90,000 Per Annum
Job Description
About the Role
Our client is actively recruiting a highly skilled Quantitative Analyst (Quant) to enhance their trading strategy development team in Manchester . This position is ideal for individuals with a strong mathematical and computational background, focused on designing, testing, and implementing sophisticated trading algorithms and risk management models. You will work at the forefront of financial innovation, leveraging advanced statistical techniques and programming skills to gain a competitive edge in the global markets. This role offers a challenging and rewarding environment for a talented professional seeking to influence trading strategies in the North West of England .
Key Responsibilities
- Develop and implement quantitative trading strategies using statistical and machine learning techniques.
- Build and maintain high-performance trading systems and risk management frameworks.
- Analyze large datasets to identify market patterns, anomalies, and trading opportunities.
- Conduct rigorous back-testing and performance analysis of proposed trading strategies.
- Collaborate with portfolio managers and traders to refine strategy execution and risk controls.
Requirements
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience in quantitative finance, algorithmic trading, or statistical modeling.
- Expertise in programming languages such as Python, C++, or R, and experience with data analysis libraries.
- Strong understanding of financial markets, derivatives, and risk management principles.
- Ability to translate complex mathematical concepts into practical trading solutions.
Benefits
- Attractive base salary complemented by generous performance-based bonuses.
- Fully remote working arrangement, offering exceptional work-life balance.
- Cutting-edge technology and research infrastructure.
- Comprehensive health and wellness benefits package.
- Opportunities for continuous learning and professional growth in a data-driven environment.