Quantitative Researcher | Trading team

Jump’s London office is the hub for managing Jump’s substantial United Kingdom, European and expanding Middle Eastern operations, which includes all aspects of Jump’s robust activities, including quantitative research and development, trading, trading and back office systems development, and venture and strategic investments. Working in the London office has the feel of a smaller company with the benefits of being an integral part of one of the world’s leading global quantitative trading firms. Our Amsterdam office was born in 2018 as our first step into mainland Europe. Amsterdam is at the forefront of everyday European Trading events.

The quantitative trading teams at Jump Trading 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.

What You'll Do :

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas. Other duties as assigned or needed.

Skills You’ll Need :

• Proven success with profitable trading strategies.
• Strong programming skills in C++ / Python 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.
• Reliable and predictable availability

Benefits include :

J-18808-Ljbffr