Quantitative Analyst
- sunderland, tyne and wear, SR1 1AD, United Kingdom
- Permanent·Hybrid
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Quantitative Analyst to join their sophisticated trading and risk management team in Sunderland . This role involves developing and implementing advanced mathematical models and algorithms to drive trading strategies, manage risk, and optimize portfolio performance. You will work at the intersection of finance and technology, leveraging complex data analysis and computational methods to generate alpha and provide data-driven insights. The position offers a hybrid working model, allowing for focused work and collaboration.
Key Responsibilities
- Design, develop, and test quantitative trading strategies and models.
- Conduct complex data analysis, including time series analysis and statistical modeling.
- Implement algorithms in a production environment using languages like Python, R, or C++.
- Analyze market data to identify trading opportunities and assess risk exposures.
- Collaborate with portfolio managers and traders to refine strategies and enhance performance.
- Monitor model performance and make necessary adjustments to ensure accuracy and effectiveness.
Requirements
- Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Financial Engineering.
- Proven experience as a Quantitative Analyst or similar role in finance.
- Strong programming skills in Python, R, C++, or similar languages.
- Deep understanding of financial markets, derivatives, and statistical modeling techniques.
- Experience with large datasets and database technologies.
- Excellent analytical, problem-solving, and communication skills.
Benefits
- Attractive salary and bonus structure commensurate with expertise.
- Hybrid work environment supporting both office-based collaboration and remote flexibility.
- Comprehensive benefits including health, dental, and life insurance.
- Access to cutting-edge technology and data resources.
- Opportunities for research and publication in relevant fields.


