Quantitative Systematic Trading Internship: Summer 2027

Amsterdam Quant Society; Greater London; Hybrid; GBP 16,000 - 23,000; Full time

Job summary

Susquehanna is offering a 10-week Quantitative Systematic Trading Internship for Summer 2027 in London. You will identify trading signals, develop systematic strategies, and work on real-world algorithmic-trading problems.

You will learn Susquehanna's proprietary dataspaces and modelling approaches, applying simulations to enhance trading decisions. Collaboration across trading, research, and technology teams is core to the role.

Qualifications

• PhD or research master's students graduating in 2027 or 2028.
• Experience coding to process and analyse large datasets.
• Strong mathematical modelling and research skills.
• Clear communication and collaboration requirements.

Responsibilities

• Identify trading signals and develop systematic strategies.
• Work on a real-world algorithmic trading problem.
• Learn Susquehanna's proprietary dataspaces, modelling approaches, and strategy implementation.
• Use trading simulations to develop trading decision-making.
• Work across trading, quantitative research, and technology teams.

Skills

PhD or research master's candidate

Coding experience

Mathematical modelling

Clear communication and collaboration

Education

PhD or research masters in quantitative field

Job description

Quantitative Systematic Trading Internship: Summer 2027

10-week systematic trading internship combining trading, quantitative research, coding, algorithmic-trading projects, modelling, and trading simulations.

What you will do

• Identify trading signals and develop systematic strategies.
• Work on a real-world algorithmic trading problem.
• Learn Susquehanna's proprietary dataspaces, modelling approaches, and strategy implementation.
• Use trading simulations to develop trading decision-making.
• Work across trading, quantitative research, and technology teams.

What Susquehanna looks for

• PhD or research master's students in a quantitative discipline, graduating in 2027 or 2028.
• Experience coding to process and analyse large datasets.
• Strong mathematical modelling and research skills.
• Clear communication and collaboration.

No finance background is required. Hiring is rolling. Successful interns may return to the graduate programme in September 2027, January 2028, or September 2028.

Details

Role information

Location London, United Kingdom

Job type Internship

Category Quant Trading

Company

Global quantitative trading firm integrating trading, technology, quantitative research, machine learning, and decision science, with a major focus on derivatives.