Quant jobs / DRW

Research Engineer

An engineer embedded in a systematic trading team who turns researchers' ideas into fast, maintainable code. It sits between quant researchers, traders and platform engineers.

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 research studies and strategy simulations with researchers
Build production tools shaped by traders' needs
Speed up the path from prototype to live deployment
Evaluate and adopt new technology for the research stack

What they ask for

Required

Bachelor's in computer science or similar
2+ years of production Python
Solid quantitative finance and maths
Linux, concurrent, high-throughput, low-latency systems
Delivering systems directly for end users
Strong communication

Preferred

Low-level languages (C/C++, Rust, Zig)
Functional programming

Education: Bachelor's degree in computer science, computer engineering or a related field
Experience: 2+ years of production Python
Languages and tools: Python
C++
Rust
Zig

How to prepare

Write a vectorised event-driven backtester in Python with tests
Learn Linux performance basics and profiling
Pick up one systems language (C++ or Rust) alongside Python
Study how strategy simulation differs from live trading

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 DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

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