Quantitative Analyst (Quant)
- milton keynes, buckinghamshire, MK9 2FF, United Kingdom
- Remote
- Full time
- £75,000 - £75,000 Per Annum
Job Description
About the Role
Our client is actively seeking a talented Quantitative Analyst (Quant) to join their innovative finance team, operating on a fully remote basis. This role is essential for developing and implementing sophisticated mathematical models and statistical techniques to solve complex financial problems, optimize trading strategies, and manage risk. You will collaborate digitally with traders, portfolio managers, and technologists to drive data-driven insights and advancements. This is a prime opportunity for a mathematically inclined individual to leverage cutting-edge techniques in a remote-first environment, contributing to the firm's competitive edge in the global financial markets.
Key Responsibilities
- Design, develop, and implement quantitative models for pricing, risk management, and trading strategies.
- Perform statistical analysis and data mining on large financial datasets to identify patterns and opportunities.
- Collaborate with software engineers to translate models into production-ready code for trading systems.
- Backtest and validate model performance, ensuring accuracy and robustness.
- Contribute to the research and development of new quantitative methodologies and financial products.
- Monitor and assess the performance of existing models, making necessary adjustments and improvements.
Requirements
- Advanced degree (M.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 in a similar quantitative role within the banking and finance industry.
- Strong programming skills in languages like Python, C++, or R, with experience in scientific computing libraries.
- Deep understanding of financial markets, derivative pricing, and risk management techniques.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Demonstrated success working independently and collaboratively in a remote setting.
Benefits
- Highly competitive salary and annual bonus potential.
- Comprehensive health, dental, and vision coverage.
- Generous allowance for professional development, conferences, and training.
- Cutting-edge technology and tools for quantitative analysis.
- A flexible, fully remote work structure designed for maximum productivity and work-life integration.


