About this role
Job title: Quantitative Researcher | Trading Team
About the Role Jump's Quantitative Researcher for the Trading Team in London focuses on applying cutting-edge research to global financial markets, collaborating with researchers, traders, hardware and software developers to push forward new ideas.
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.
What We're Looking For
- 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.
Compensation & Benefits
- Private Medical, Vision and Dental Insurance
- Travel Medical Insurance
- Group Pension Scheme
- Group Life Assurance and Income Protection Schemes
- Paid Parental Leave
- Parking and Cycle Schemes