Quant jobs / Oxford Knight

Quant Developer (Python/C++) - Model Implementation - Singapore- Global Hedge Fund

Oxford Knight advertises a model-implementation position for an unnamed systematic hedge fund. The engineer owns real-time signal computation and the production systems that turn strategies into target positions.

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.

Implement new research strategies in production
Maintain distributed real-time signal calculations
Profile and resolve platform bottlenecks
Extend platform support to new asset classes

What they ask for

Required

Five or more years in quantitative development
Python and C++
Strong debugging
Python scientific stack
Automated testing
Ownership of production systems

Education: Computing qualification at bachelor, master or doctoral level, or equivalent.
Experience: 5+ years in quantitative development or a comparable position.
Languages and tools: Python
C++
pandas
NumPy
scikit-learn
Markets: multi-asset

How to prepare

Build a tested research-to-production signal service
Profile a distributed calculation and explain bottlenecks
Reconcile live target positions against model expectations

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Oxford Knight’s site before applying: requirements, location and pay can change after we check them.

View the posting on Oxford Knight’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Oxford Knight and doesn’t handle applications.