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Quantitative Trading Strategist – Equity Options

A strategist role in IMC's US equity options market-making business, improving how automated trading decisions are designed, tested and deployed. It sits across research, execution and risk on a large systematic platform.

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.

  • Refine models for pricing, execution and risk
  • Analyse large trading datasets to find structural improvements
  • Design, test and deploy strategy changes into production
  • Collaborate with traders, researchers and engineers on live logic

What they ask for

Required

  • 3+ years in quant research, systematic trading or microstructure
  • Exchange-traded products experience, ideally equity options
  • Market structure and trading system behaviour
  • Rigorous analysis of large datasets
  • Python required
  • Experience moving research into production

Preferred

  • C++ or similar
  • Statistics, probability, time series or optimisation background
Education
No degree level stated; statistics or optimisation background preferred
Experience
3+ years in quant research, systematic trading or microstructure roles
Languages and tools
  • Python
  • C++
Markets
options

How to prepare

  • Build an equity options pricing and quoting simulation
  • Study US options market structure, including multi-exchange quoting and NBBO
  • Practise analysing fills and adverse selection
  • Review the path from research code to a production release

What to study

The Volatility Quant 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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