Quant jobs / Qube Research & Technologies
Quantitative Developer – Pre/Post-Trade Analytics
A developer role building analytics for automated trading strategies, from pre-trade analysis to post-trade performance. It combines quant development, data analysis and full-stack work.
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 dashboards for traders and quant researchers
- Analyse execution quality, slippage and transaction costs
- Process large volumes of market and trading data
- Improve the analytics platform with tests and reviews
What they ask for
Required
- Strong Python
- TypeScript
- Vue.js and modern front end
- API design and data-driven apps
- Testing and version control
- Autonomy and communication
Preferred
- AWS
- CI/CD (GitLab)
- Financial markets or electronic trading experience
- Education
- No degree level stated.
- Experience
- Not stated
- Languages and tools
How to prepare
- Build a transaction-cost dashboard from sample order and fill data
- Learn implementation shortfall and slippage metrics
- Study the trading lifecycle from pre-trade to post-trade
- Practise a Python API feeding a Vue front end
What to study
- Market Microstructure and Execution
- Python for Quantitative Finance
- Quantitative Data Engineering
- Quantitative Research, Data and Backtesting
Apply
Read the full posting on Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.
View the posting on Qube Research & Technologies’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Qube Research & Technologies and doesn’t handle applications.
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