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Posted September 1, 2026

Quantitative Trader/Researcher Summer Internship 2027

Tower Research Capital

Category:Quantitative Research

Location:London

Seniority
Student
Employment type
Intern
Work arrangement
Hybrid

Requirements

  • Currently pursuing a Bachelor's, Master's, and/or PhD in Mathematics, Statistics, Physics, Electrical Engineering, Computer Science, Data Science, Financial Engineering, or related quantitative fields
  • Penultimate-year students only
  • Strong background in Python and/or C++
  • Exceptional problem-solving abilities and analytical thinking
  • Passion for exploring new technologies, quantitative ideas, and financial markets
  • Ability to adapt and manage multiple tasks effectively in a fast-paced environment
  • Strong communication and collaboration skills, with an eagerness to learn in a cohort-based setting

About the role

Our trading teams are hiring aspiring quantitative traders/researchers for internships in Summer 2027 (open exclusively to penultimate-year or final-year students).

This year, we are excited to launch a brand-new rotational internship programme: TACTIC (Trading, Algorithmic Computing, & Theory Internship Class). As part of our inaugural class, you’ll have a unique opportunity to immerse yourself in the world of quantitative trading, learning directly from experienced traders and gaining hands-on exposure to different teams, strategies, and approaches. 

As part of this program, you will:

  • Join a Collaborative Cohort: Kick off your internship with two weeks of structured learning alongside your fellow interns, connecting directly with leaders and teams across Tower to build a strong foundational understanding of quantitative finance and our global platform.
  • Rotate Across Two Trading Teams: Gain hands-on experience with two distinct trading teams, exploring Tower’s diverse strategies and trading approaches, and how they fit into firm-wide operations.

Responsibilities

  • Working in your assigned trading teams to assist in the design, implementation, and deployment of high- or mid-frequency trading algorithms.
  • Working closely with dedicated mentors across both team rotations to research, refine, and enhance existing trading strategies.
  • Exploring new trading ideas through in-depth analysis of financial market data.
  • Creating tools to analyze complex data sets for patterns and signal identification.
  • Contributing to core libraries of analytical computations to support market data analysis and trading execution.

What you'll get

  • Generous paid time off policies
  • Savings plans and other financial wellness tools available in each region
  • Hybrid working opportunities
  • Free breakfast, lunch, and snacks daily
  • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
  • Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
  • Volunteer opportunities and charitable giving
  • Social events, happy hours, treats, and celebrations throughout the year
  • Workshops and continuous learning opportunities

Skills

Python · C++