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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
  • Python
  • TypeScript
  • Vue.js

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

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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