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Junior Trader

An entry-level trading role operating automated, latency-sensitive strategies across several asset classes. You blend monitoring, quantitative research and tool-building on a desk with researchers and 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.

  • Run automated trading systems and adjust parameters to market conditions
  • Backtest and refine strategy ideas
  • Trade manually to cut risk when needed
  • Build internal monitoring tools
  • Analyse logs, executions and market data to give feedback on performance

What they ask for

Required

  • Bachelor's in a STEM or computational finance field
  • Reasoning about distributed trading systems
  • Strong analytical and quantitative thinking
  • Python or C++ programming
  • Attention to detail
  • Calm under time pressure

Preferred

  • Prior trader or trading analyst experience
Education
Bachelor's in computer science, engineering, maths, statistics or computational finance
Experience
Early career; prior trading experience a plus
Languages and tools
  • Python
  • C++
Markets
multi-asset

How to prepare

  • Build a simple automated strategy with a monitoring dashboard
  • Learn how order books and execution quality are measured
  • Practise log analysis and debugging in Python
  • Review risk basics: limits, exposure and drawdowns

What to study

The HFT Quantitative Researcher 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.

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