Quantitative Analyst (Quant)
- manchester, greater manchester, M1 1AN, United Kingdom
- Job type not listed
- Full time
- £85,000 - £85,000 Per Annum
Job Description
About the Role
Our client requires a brilliant and innovative Quantitative Analyst (Quant) to join their cutting-edge team in Manchester . This position involves developing and implementing sophisticated mathematical models and algorithms for trading strategies, risk management, and pricing derivatives within the global financial markets. You will leverage your advanced quantitative skills to drive alpha generation and enhance trading performance. This role offers an exceptional chance to work at the forefront of quantitative finance, contributing to groundbreaking research and development in a fast-paced, intellectually stimulating environment, serving clients worldwide from our Manchester hub.
Key Responsibilities
- Design, test, and deploy quantitative trading models and algorithms.
- Develop and refine pricing and risk management models for complex financial instruments.
- Conduct rigorous back-testing and statistical analysis of trading strategies.
- Collaborate with traders and portfolio managers to implement and optimize model performance.
- Stay abreast of the latest academic research and technological advancements in quantitative finance.
Requirements
- Advanced degree (Master's or PhD) in Mathematics, Physics, Computer Science, Statistics, or a related quantitative field.
- Proven experience of 4+ years as a Quant or in a similar quantitative research role in banking and finance .
- Expertise in programming languages such as Python, C++, or R, and experience with machine learning techniques.
- Strong understanding of stochastic calculus, statistical modeling, and financial markets.
- Ability to translate complex theoretical concepts into practical trading applications in Manchester .
Benefits
- Highly competitive salary with substantial annual bonuses tied to performance.
- Comprehensive health and wellness benefits package.
- Generous allowance for professional development, conferences, and further education.
- State-of-the-art technology and research infrastructure.
- Dynamic and collaborative work culture focused on innovation and intellectual challenge.


