Quant Research Internship: Microstructure, ML & Execution

Tower Research Capital

Greater London

Hybrid

GBP 18,000 - 24,000

Full time

14 days+
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Benefits offered by this job

Generous paid time off policies
Savings plans and other financial well
Hybrid working opportunities
Free breakfast, lunch, and snacks
In-office wellness experiences
Company-sponsored sports teams and фит
Volunteer opportunities and charitable
Social events and learning
Workshops and continuous learning

Job summary

Tower Research Capital is a leading quantitative trading firm offering an internship on our Central Execution Desk. You will work on cutting-edge execution research, modeling, and evaluation of execution performance within a global, collaborative team.

The role emphasizes research, data analysis, and practical impact on trading systems. We seek a current PhD student in a quantitative field with strong math, statistics, optimization, and ML foundations, plus experience in Python, C++, or Rust.

Qualifications

  • Pursuing a PhD in a quantitative field at a top-tier university.
  • Strong grounding in mathematics, statistics, optimization, and machine learning.
  • Experience with data-mining and analysis.
  • Programming skills in Python, C++, or Rust.
  • Interest in market microstructure and quantitative trading.
  • Familiarity with large financial datasets is a plus but not required.
  • Internship start within 6 months preferred.

Responsibilities

  • Explore execution ideas by analyzing market microstructure for liquidity patterns.
  • Build tools, simulations, and analytics to support trading decisions.
  • Contribute to research libraries and production workflows for execution analysis.
  • Design and evaluate models; perform causal analysis.
  • Work with large, noisy data and build data-processing pipelines.

Skills

Python
C++
Rust
Mathematics
Statistics
Machine Learning
Data Mining

Education

PhD student in Mathematics/Statistics/CS/Financial Engineering/Physics/OR/Economics

Job description

Tower Research Capital is a leading quantitative trading firm offering an internship on our Central Execution Desk. You will work on cutting-edge execution research, modeling, and evaluation of execution performance within a global, collaborative team.

The role emphasizes research, data analysis, and practical impact on trading systems. We seek a current PhD student in a quantitative field with strong math, statistics, optimization, and ML foundations, plus experience in Python, C++, or Rust.

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