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Job Description

Job Description & Requirements

You will be one of the original and founding members of the Global Risk Team, playing a critical role in overseeing real-time and end-of-day risk across high-frequency and mid-frequency trading strategies and asset classes. This role sits at the intersection of trading, quantitative research and technology - ensuring the firm maintains robust risk controls and regulatory compliance.

Key Responsibilities

  • Develop, validate and maintain quantitative risk models for intraday exposure, stress testing and scenario analysis.
  • Backtest and calibrate models using high-frequency trading data.
  • Design and manage position, P&L and exposure limit structures by strategy, symbol and trading entity.
  • Produce daily and intraday risk reports for senior management.
  • Conduct post-trade analysis to understand sources of risk and drawdowns.
  • Contribute to capital allocation discussions and portfolio-level risk optimisation.
  • Partner with technology and compliance teams to enhance risk infrastructure and ensure adherence to exchange and jurisdictional rules.

Requirements

  • Education: Bachelor's or Master's in Computer Science, Electrical Engineering, Mathematics or Physics.
  • Experience: 2-5 years as an engineer or quantitative researcher.
  • Technical skills: Strong programming skills in Python and C++, with familiarity with real-time systems and large data analysis.

Good-to-Have:

  • Familiarity with exchange risk systems (kill switches, self-trade prevention, rate limits) and risk metrics such as VaR, expected shortfall and drawdown analysis.

More Info

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Key Skills

large data analysis

real-time systems