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My client is a global proprietary trading firm that remains on the cutting edge of algorithmic trading. They are a privately funded company, with offices across Europe, US and Asia, trading across all major asset classes. They have a huge ongoing commitment to technology and human capital which has led them to become an industry leader, quietly setting the standard for sophisticated trading strategies. Management are passionate about supporting the exploration of new strategies and concepts throughout the company, so not only do they encourage new ideas, they also expect them.
Quantitative Researchers probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
The team collaborates extensively with others to analyze performance, optimize trading strategies, and continue to advance the sophistication and results of their research.
The London office is looking for talented individuals with the following skills:
Proven success with profitable trading strategies
Strong programming skills in C++ in a Linux environment
Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
Strong experience developing statistical models in a trading environment
Proven success working with large data sets and developing statistical models
Fascinated and interested in advancing machine learning within the trading community
Possess strong familiarity with Python, R or Matlab along with development skills to support research efforts
Masters or PhD in Statistics, Physics, Mathematics (or related subject)
Desire to work within a collaborative, team-driven environment
Excellent written and spoken English communication skills