Quant jobs / Tower Research Capital
Quantitative Trader/Researcher Graduate Programme 2027
A six-month graduate programme for 2027 graduates joining a trading team. Mentors guide work on algorithms and strategies.
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.
- Design and deploy high or mid frequency algorithms
- Research existing strategies with a mentor
- Analyse market data for ideas
- Build analytics tools
What they ask for
Required
- Master's and/or PhD in a quantitative field
- Strong Python and C++
- Problem solving
- Multitasking
- Communication
- Education
- Master's and/or PhD in maths, statistics, physics, engineering, computer science, data science or financial engineering.
- Experience
- 2027 graduates
- Languages and tools
How to prepare
- Build a signal research project
- Practise Python and C++
- Review statistics and ML
- Study market data
What to study
- Statistical Arbitrage
- Quantitative Research, Data and Backtesting
- Python for Quantitative Finance
- Probability, Statistics and Financial Data
The HFT Quantitative Researcher 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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