Graduate Quant Trader/Researcher – Hybrid Program

Tower Research Capital

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Hybrid working opportunities
Free breakfast, lunch, and snacks
Wellness reimbursements
Social events and learning workshops

Job summary

Tower Research Capital invites high-potential graduates to join a six-month graduate programme for exceptional aspiring Quantitative Traders/Researchers graduating in 2027. You will design and implement high- or mid-frequency trading algorithms and work closely with a mentor to refine strategies.

The role emphasizes data analysis, tool development, and collaboration across a world-class engineering environment with a global footprint and hybrid working opportunities.

Qualifications

  • Master's or PhD in mathematics, physics, engineering, computer science, data science, financial engineering, or related fields.
  • Strong background in Python and C++.
  • Excellent problem-solving abilities and ability to manage multiple tasks in a fast-paced environment.
  • Clear communication skills and a passion for new technologies.

Responsibilities

  • Design, implement, and deploy high- or mid-frequency trading algorithms.
  • Work with a mentor to research and enhance trading strategies.
  • Explore trading ideas by analyzing market data and creating analysis tools.
  • Contribute to libraries of analytical computations supporting market data analysis and trading.

Skills

Python
C++
Strong communication
Problem solving

Education

Master's or PhD in relevant fields

Job description

Tower Research Capital invites high-potential graduates to join a six-month graduate programme for exceptional aspiring Quantitative Traders/Researchers graduating in 2027. You will design and implement high- or mid-frequency trading algorithms and work closely with a mentor to refine strategies.

The role emphasizes data analysis, tool development, and collaboration across a world-class engineering environment with a global footprint and hybrid working opportunities.

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