£Competitive GBP

Onsite WORKING

Location: London, Central London, Greater London - United Kingdom Type: Permanent

Our client is a leading global market maker whose team of quantitative researchers brings markets to life by developing and implementing cutting-edge trading strategies every day. This highly skilled team leverages sophisticated statistical techniques to design, test, and optimize automated quantitative trading models that directly impact trading performance.

They are seeking an extraordinary Quantitative Researcher who embodies their core values of winning, integrity, continuous learning, and fostering a meritocratic culture.

Key Responsibilities: *Conduct in-depth research and statistical analysis to evaluate securities and trading opportunities
*Work with large and unconventional data sets to develop and enhance trading strategies that have immediate effects on P&L
*Conceptualize valuation methods, develop robust mathematical models, and translate algorithms into efficient, maintainable code
*Back-test models rigorously and implement trading signals within a live trading environment to optimize execution and profitability
Required Skills and Experience: *Advanced academic background in mathematics, statistics, physics, computer science, or a closely related quantitative discipline
*Proficiency in probability and statistics, including time-series analysis, machine learning, pattern recognition, and natural language processing (NLP)
*Demonstrated experience working in a data-driven research environment, ideally within finance or related fields
*Strong programming skills, particularly in Python; familiarity with analytical tools such as R or Matlab and compiled languages like C++ is highly advantageous
*Exceptional analytical and problem-solving abilities with a track record of applying quantitative techniques to complex challenges
*Excellent communication skills, capable of clearly conveying advanced concepts and research findings
*Expertise in developing algorithms to analyze large datasets and conduct meticulous error checking
Why Join? *Work alongside a world-class team driving innovation in automated trading
*Make an immediate, measurable impact on trading performance and profitability
*Thrive in a culture that rewards merit, encourages learning, and upholds the highest standards of integrity
If you are passionate about quantitative research and eager to contribute to a dynamic, high-performance trading environment, we would love to hear from you.

Interested in learning more?
Click ’Apply Now’, or reach out directly to Stephen Kennedy at Anson McCade via LinkedIn for more Information.