Quantitative Trading Internship: Data, ML & Strategy

Susquehanna International Group, LLP

Greater London

On-site

GBP 18,000 - 24,000

Full time

14 days+

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Benefits offered by this job

Free onsite catering
Games room
Dedicated education space

Job summary

Susquehanna International Group, LLP is offering a 10-week quantitative systematic trading internship in London. You will be guided by senior traders and researchers and taught comprehensively, even if you don’t come from a finance background.

The programme blends classroom education with hands-on projects, trading simulations, and exposure to proprietary data and modelling techniques. Applicants in the class of 2027 or 2028 are welcomed.

Qualifications

  • Research-minded: enjoy building mathematical models to reveal patterns in data.
  • Technically proficient: experience writing code to process and analyse large datasets.
  • Clear communicator: able to share ideas and collaborate with team members.
  • Ambitious: eager to reach full potential and put in effort to succeed.
  • Class of 2027 or 2028: PhD or research master's student in a quantitative discipline, invited to join the full-time graduate programme later.

Responsibilities

  • Work on real-world algorithmic trading problems and simulations.
  • Develop understanding of proprietary dataspaces and modelling approaches.
  • Collaborate with trading, quantitative research, and technology teams.

Skills

Research minded
Technically proficient
Clear communicator
Ambitious

Education

PhD or research master in quantitative discipline (penultimate year)

Job description

Susquehanna International Group, LLP is offering a 10-week quantitative systematic trading internship in London. You will be guided by senior traders and researchers and taught comprehensively, even if you don’t come from a finance background.

The programme blends classroom education with hands-on projects, trading simulations, and exposure to proprietary data and modelling techniques. Applicants in the class of 2027 or 2028 are welcomed.

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