Quant jobs / Tower Research Capital
Quantitative Developer Intern
A 10-week internship building Python tools for a trading desk's quant researchers. It suits students in computing, engineering or maths.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build Python tools used across the research process
- Design workflows with researchers to evaluate strategies
- Learn workflow orchestration and production practices
- Iterate quickly on researcher feedback
What they ask for
Required
- Final-year bachelor's or master's student
- 10 weeks' availability
- Solid Python
- Interest in quant finance and software
- Communication
Preferred
- C++
- Bash
- Education
- Final-year bachelor's or master's in computer science, engineering, applied maths or similar.
- Experience
- Students; coursework or personal projects suffice
- Languages and tools
How to prepare
- Build a small Python research tool with pandas or Polars
- Make a simple backtest project
- Learn Git and Bash
- Read introductory quant finance
What to study
- Python and Data Primer
- Python for Quantitative Finance
- Quantitative Research, Data and Backtesting
- Finance Primer
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Tower Research Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on Tower Research Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Tower Research Capital and doesn’t handle applications.
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