Quantitative Researcher

Responsibilities

• Collect and analyze massive datasets to identify patterns and extract insights into financial market complexities
• Develop profitable predictive trading models using statistical analysis and machine learning
• Collaborate with scientists, traders, hardware/software developers, and business teams to implement new ideas
• Apply data engineering and forecasting techniques to drive research outcomes

Requirements

• Proven success in developing profitable trading strategies
• Strong programming skills in C++ and Python within a Linux environment
• Experience with forecasting and data mining techniques (e.g., linear/non-linear regression, neural networks, or SVMs)
• Extensive experience developing statistical models and working with large datasets
• Proficiency in Python, R, or MATLAB
• Masters or PhD in Statistics, Physics, Mathematics, or a related quantitative field

Preferred Qualifications

• Deep interest in advancing machine learning applications within the trading community
• Ability to work effectively in a highly collaborative, team-driven environment

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

About the Company

Jump Trading Group is committed to world-class research, empowering exceptional talent in Mathematics, Physics, and Computer Science to push scientific boundaries and apply cutting-edge research to global financial markets.