Sign in

Senior Quant Researcher

Company:
Matthew Hoyle Financial Markets
Location:
Central and Western District, Hong Kong
Posted:
December 03, 2018

Description:

Quantitative Researchers: collect data and analyze the global markets, seeking to uncover patterns and understand the complexities of the global financial markets. They leverage statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. Quantitative Researchers collaborate extensively within their trading teams to create and optimize trading strategies and advance the sophistication and results of their research, as well as work with members of the firm in technology and business roles to contribute to leading electronic trading strategies.

Skills You'll Need:

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