Quantitative Trading Internship: Data & ML Signals

Quantitative Trading Internship: Data & ML Signals

Internship 22500 - 27500 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a team to solve real-world algorithmic trading challenges using data and machine learning.
  • Company: Susquehanna International Group, a leader in quantitative trading.
  • Benefits: Gain hands-on experience, mentorship, and networking opportunities in a dynamic environment.
  • Other info: 10-week summer internship based in London for class of 2027 or 2028.
  • Why this job: Make an impact in the fast-paced world of trading while developing your skills.
  • Qualifications: Pursuing a PhD or research master's in a quantitative field with strong coding skills.

The predicted salary is between 22500 - 27500 Β£ per year.

The Susquehanna International Group is offering a 10-week summer internship in quantitative systematic trading hosted from our London office.

Interns will join a collaborative team of researchers, traders, and technologists to tackle real-world algorithmic trading problems and work with proprietary data spaces.

Participants should be class of 2027 or 2028 and pursuing a Ph D or research master's in a quantitative field, with strong coding ability and a passion for mathematics and game theory.

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Quantitative Trading Internship: Data & ML Signals employer: Susquehanna International Group

Susquehanna is an exceptional employer for graduates seeking to launch their careers in trading systems engineering. With a strong emphasis on education and continuous development, employees benefit from a collaborative and non-hierarchical culture that fosters innovation and problem-solving. Located in the heart of London, our modern office offers unique perks such as free onsite catering and a games room, making it an ideal environment for ambitious individuals to thrive.

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Contact Details:

Susquehanna International Group Recruitment Team

We think you need these skills to ace Quantitative Trading Internship: Data & ML Signals

Quantitative Analysis
Algorithmic Trading
Coding Ability
Mathematics
Game Theory
Data Analysis
Collaboration