Quantitative Developer - Algo Execution (Python)
Gravitas recruits for an unnamed trading firm’s APAC execution initiative. The developer creates efficient quantitative models and applications for large equity flows.
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.
- Optimise streaming-data models.
- Build and integrate execution applications.
- Define APIs with researchers and traders.
What they ask for
Required
- Quantitative development
- Compiled and interpreted languages
- Unix
- Independent problem solving
- Communication
Preferred
- Equity microstructure
- KDB+/q
- Education
- A relevant computing or quantitative degree; level unspecified.
- Experience
- Two to ten years in quantitative financial development.
- Languages and tools
- Markets
- equities
How to prepare
- Benchmark a streaming calculation.
- Model execution effects in equities.
- Design an API for a quantitative component.
What to study
The 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 Gravitas Recruitment Group’s site before applying: requirements, location and pay can change after we check them.
View the posting on Gravitas Recruitment Group’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Gravitas Recruitment Group and doesn’t handle applications.