Quantitative Researcher

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to 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.

Jump Trading established its dedication to the China market with the launch of our Shanghai office in late 2017 with the ambition of building an independently operational office. Due to this ambition, we are growing our competencies in Trading, Technology and Operations. We bring together the best of two worlds; A start-up environment powered by Global Jump Trading dedication and resources. 

What You'll Do:

• Collect data and analyze the global markets, seeking to uncover patterns and understand the complexities of the global financial markets.
• Leverage statistical analysis and data mining skills, using the results of the research to make forecasts and develop profitable predictive trading models.
• Collaborate extensively within the trading team to create and optimize trading strategies and advance the sophistication and results of the research, as well as work with members of the firm in technology and business roles to contribute to leading electronic trading strategies.
• Other duties as assigned or needed
  
  

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Strong programming skills in C++/Python in a Linux environment.
• Possess strong familiarity with Python, R or MATLAB along with development skills to support research efforts.
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines.
• Fascinated and interested in advancing machine learning within the trading community.
• Masters or PhD in Statistics, Physics, Mathematics, Engineering (or related subject).
• Desire to work within a collaborative, team-driven environment.
• Reliable and predictable availability

Not Required but a Plus:

• Proven success with profitable trading strategies.
• Strong experience developing statistical models in a trading environment.
• Proven success working with large data sets and developing statistical models.
• Reliable and predictable availability