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About the Role

As a trading system engineer, you'll work in a computationally intensive role that will allow you to use your strong technical skills to solve problems at the intersection of trading and technology. You will have the chance to work on challenging engineering problems across our trading teams in areas such as trading systems engineering, low-latency C++ strategy development, and high-performance C++ libraries that enable large-scale quantitative research and data processing. You’ll work on the desk side by side with senior developers who understand the nuances of building performant, reliable systems for complex trading strategies. You will begin with a comprehensive education program designed to build a broad understanding of the role trading system engineers play across our trading teams. Once you complete the program, you’ll be placed on a trading team that aligns with your interests and background. This will give you the best preparation possible for a career in trading system engineering.

Responsibilities

Work on challenging engineering problems across trading teams.
Develop low-latency C++ strategies.
Build high-performance C++ libraries for quantitative research and data processing.
Collaborate with senior developers on building performant and reliable systems for complex trading strategies.
Participate in a comprehensive education program to understand the role of trading system engineers.
Be placed on a trading team aligned with interests and background after completing the education program.

Requirements

Master’s or bachelor’s student in their final year of study, majoring in a quantitative and/or STEM discipline such as computer science, computer engineering, mathematics or data science.
Enjoy building relationships and be comfortable sharing ideas, expressing thoughts, and listening to others.
Be ambitious and enjoy setting personal goals and working to achieve them.
Possess exceptional quantitative, logical reasoning, and analytical skills.
Use clear and sound reasoning, and be rational, using numbers and data to find sensible solutions.
Participate in coding, mathematics, system design, and behavioral interviews.

Skills

Strong software development skills in C++, C, or Rust.
Python experience.
Quantitative skills.
Logical reasoning skills.
Analytical skills.
Problem-solving skills.

Location

London

Work Type

Full-time
Graduate Program

Experience Level

Graduate

Education Level

Master's degree
Bachelor's degree

Salary/Compensations

Highly competitive compensation package

Benefits

Market-leading education and training programs.
Multi-week education program covering quantitative strategy development.
Opportunity to work with a diverse range of people.
Intellectually driven and collaborative culture.
Continuous development opportunities.
Free onsite catering.
Games room.
Dedicated education space.

About the Company

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation.
Culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders.
Designs and deploys impactful strategies in a systematic trading environment.
Applies machine learning and advanced quantitative research to vast datasets.
Unites deep market expertise with cutting-edge technology to solve complex problems and push boundaries.

Equal Opportunity

Susquehanna is an equal opportunity employer, and we are committed to diversity and inclusion throughout our recruitment process.
Assistance and/or a reasonable accommodation due to a disability during the application or recruitment process is available upon request.