• Permanent, Full time
  • Anson McCade
  • 21 Feb 18
  • London, England, United Kingdom
  • Competitive
  • Full time

Quant Researcher – Top Prop HF Trading House

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.

Quant Researcher – Top Prop HF Trading House

London based

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