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Quantitative Trader – Equities (Live Trading)

A trading role close to production, running and monitoring live high to mid-frequency delta-one equity strategies in APAC. It focuses on execution quality and quick feedback between trading, research and engineering.

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.

  • Monitor live strategies for performance, risk and anomalies
  • Analyse fills, slippage, adverse selection and market impact
  • Translate research ideas into robust live behaviour
  • Work with engineers to diagnose production issues
  • Run post-trade analysis and performance attribution

What they ask for

Required

  • Degree in a quantitative field
  • 3+ years in systematic equity trading with live exposure
  • Market microstructure and order book understanding in APAC
  • Execution quality and market impact analysis
  • Python or C++ and data analysis
  • Decision-making under pressure
Education
Degree in maths, physics, CS, engineering, economics or similar
Experience
3+ years in systematic equity trading
Languages and tools
  • Python
  • C++
Markets
equities

How to prepare

  • Build a transaction cost analysis report from fills and quotes
  • Study market impact models such as square-root impact
  • Learn APAC market structure, auctions and lot sizes
  • Practise triaging a production incident from logs and PnL

What to study

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

View the posting on IMC Trading’s site ↗

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

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