Intern – Algorithmic Trading Systems (ATS)

Job purpose:
As an intern, you will become part of a dynamic team focused on building robust, high-performance trading systems that support and enhance the firm’s operations. You will have the opportunity to closely collaborate with multiple teams to optimize trading platforms and contribute to critical projects in a fast-paced and multifaceted environment.

Our 12-month Internship Programme, is thoughtfully designed to provide undergraduate students with a structured pathway to develop their skills, gain hands-on industry experience, and make meaningful contributions to the organization.

We are seeking self-motivated individuals who excel in an independent, ownership-driven setting. As a valued member of a dynamic and collaborative team, you will actively take initiative and responsibility for tasks, projects, and strategic initiatives. Your contributions will play a vital role in driving the team’s success while remaining aligned with its overarching objectives.

Key activities:
Develop advanced platforms for simulation and live trading across various financial markets, instruments, and trading algorithms.

Enhance existing trading platforms to support new markets and asset classes. Perform rigorous code reviews to identify and implement improvements.

Analyze software performance and quantitative metrics to guide strategic decision-making for the design and optimization of trading systems.

Implement and maintain robust test automation frameworks, including unit, integration, and regression testing, to ensure the stability and quality of the software.

Deliver ongoing software support and maintenance to ensure optimal functionality and reliability

Formal education:
BS or MS degree in Computer Science, Engineering, or a related field.

Demonstrated success in competitions such as ICPC or IMO is highly desirable

Specialist knowledge (work experience, further qualification):

A good understanding of data structures and algorithms.

Experience with Java is required. Familiarity with Python is a plus.