2027 Summer Internship Quant Research & Trading London

XY Capital
London, England, United KingdomPosted Aug 31, 2026
Summer 2027Winter 2027

About the role

WHO WE ARE

We are a quantitative and systematic trading firm that employs a rigorous mathematical approach to pricing securities and constructing portfolios across multiple asset classes globally.

WHAT WE DO

A diverse team of Traders, Quantitative Researchers, Technologists and Operations personnel closely collaborate to solve problems and develop cutting-edge models and systematic trading strategies.

WHO YOU ARE

We are looking for passionate self-starters eager to take on real-world challenges and drive meaningful impact. As part of a collaborative team, you will work alongside traders and quantitative researchers to develop models that identify alpha, execute trading strategies, and analyze market behavior. Throughout the 10-week program, you will gain hands-on experience while contributing directly to XY Capital’s success by deepening our understanding of financial markets and enhancing our trading capabilities

SKILLS & EXPERIENCE

  • Studying for an undergraduate, master’s, or PhD in a STEM subject
  • Suitable for students graduating in Summer/Winter 2027 or Summer 2028
  • Excellent understanding of research methodology and techniques
  • Proficiency in Python - including Data Structure Engineering, Pandas, Sci-Kit Learn, XG Boost, Tensor Flow and/or similar libraries
  • Any ADRs/GDRs, dual-listed securities, US ETFs or EMEA equities trading/research experience would be a bonus
  • Experience working as a part of a small, highly collaborative team
  • Excellent communication and interpersonal skills
  • A proactive, ambitious, tenacious, team player
  • Proficiency in English is a must

WHY WORK WITH US

  • Fully stocked pantry
  • Invited to join weekly trading and research meeting with a chance to present your ideas
  • Be considered for a graduate role following the internship

INTERVIEW PROCESS

All applications will be carefully reviewed and if you are selected to proceed to the interview process it will follow the below stages:

  • Online numerical,

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