Senior Quantitative Analyst (Quant)
- leeds, west yorkshire, LS1 5TR, United Kingdom
- Full time
- Remote
- £110,000 - £110,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled and innovative Senior Quantitative Analyst (Quant) to join their cutting-edge, remote-first financial analytics team. This position is critical for developing and implementing sophisticated mathematical models and algorithms used in trading strategies, risk management, and financial product pricing. You will work on complex problems, leveraging advanced statistical and computational techniques to drive performance and uncover new opportunities within the global markets. This is an exceptional opportunity for a talented individual to make a significant impact in a challenging and rewarding field, from the comfort of their remote work setup.
Key Responsibilities
- Design, develop, and implement quantitative models for pricing, risk management, and trading strategies.
- Perform rigorous back-testing and validation of models to ensure accuracy and reliability.
- Collaborate with traders, portfolio managers, and technology teams to integrate models into production systems.
- Analyze large datasets to identify patterns, trends, and market inefficiencies.
- Research and stay updated on the latest advancements in quantitative finance, machine learning, and computational techniques.
- Document methodologies, assumptions, and results clearly for technical and non-technical audiences.
Requirements
- Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or Financial Engineering.
- 5+ years of relevant experience in quantitative analysis, preferably in investment banking, hedge funds, or asset management.
- Strong programming skills in languages like Python , C++, or R, with experience in relevant libraries.
- Deep understanding of stochastic calculus, statistical modeling, and machine learning algorithms.
- Experience with large-scale data analysis and financial databases.
- Excellent problem-solving skills and the ability to work independently in a remote environment.
Benefits
- Highly competitive salary and substantial bonus structure.
- Comprehensive health, dental, and vision insurance plans.
- Generous contribution to retirement and savings plans.
- Support for continuous learning, including conferences and courses.
- Flexible remote working arrangements.
- Access to state-of-the-art technology and research tools.


