Quantitative Researcher | Trading Team

About the Role

Jump Trading Group is focused on advanced research and uses that work to power its activity in global financial markets. The firm brings together strong talent in mathematics, physics, and computer science to explore new scientific ideas, challenge existing limits, and turn research into practical outcomes. Its environment values originality, intellectual honesty, collaboration, and a strong drive to succeed.

The company’s work goes beyond trading performance alone. Research is also used to build technologies, support startups in different industries, and collaborate with universities and major research institutions on complex problems.

Team Overview

Trading teams are made up of traders, quantitative researchers, and engineers who work closely to study global markets, understand the behavior of different products and exchanges, and use data-driven analysis to build predictive models.

Key Responsibilities

In this role, you will examine large volumes of market and research data, uncover patterns, and translate findings into forecasts and trading models. You will rely on statistical methods, machine learning, and data engineering to support research and model development. The role also involves regular collaboration with traders, scientists, hardware and software engineers, and other business teams to refine and advance new ideas. Other related tasks may be assigned as needed.

Required Skills and Experience

Ideal candidates are highly motivated problem-solvers who enjoy creative thinking and challenging technical work. You should have a track record of contributing to profitable trading strategies, strong C++ programming ability in a Linux environment, and hands-on experience with forecasting and data mining methods such as linear and non-linear regression, neural networks, or support vector machines.

You should also have experience building statistical models in trading settings, working with large datasets, and applying machine learning techniques to financial research. Familiarity with Python, R, or Matlab is important, along with the ability to support research workflows through development work. Strong written and spoken English communication skills are required, as well as a dependable and consistent availability. A collaborative mindset is essential.

Education Requirements

A Master’s degree or PhD in Statistics, Physics, Mathematics, or a closely related field is expected.

Eligibility

Applicants should be individuals who can commit to a part-time onsite role in Singapore and who have the advanced academic background and technical profile described above. Current students and recent graduates are directed toward campus opportunities that include internship and full-time options.

Additional Information

Because this is a trading research position, the work may include other responsibilities beyond those listed above whenever needed.