Head of Systematic Power Trading Pod

AAA Global

Greater London

Remote

GBP 180,000 - 320,000

Full time

12 days ago

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Benefits offered by this job

Autonomy to lead pod
Capital to scale strategies
Institutional-grade research & tech

Job summary

AAA Global is seeking a Senior Systematic Power Trader to found and lead a trading pod across European or US power markets. You will own strategy, risk, and the team-building process, with autonomy and substantial capital support to scale your edge.

You should bring 7+ years of independent trading in power, demonstrated P&L, and strong quantitative and programming skills, including Python, to drive alpha and risk controls for the firm.

Qualifications

  • 7+ years of experience trading European or US power markets with a track record of managing a book independently.
  • Audited or verifiable P&L from systematic or quantitatively driven power strategies with consistent performance.
  • Experience leading, mentoring, or building teams, or ability to hire and manage a pod.
  • Deep understanding of power market fundamentals, market microstructure, and quantitative modelling.
  • Existing strategy or differentiated approach that can be scaled with institutional capital.

Responsibilities

  • Found and lead a systematic power trading pod across European or US power markets, owning strategy, risk and team build-out.
  • Define pod’s strategy and research agenda, hire and manage researchers, developers, and junior traders, retain ownership of P&L and risk.
  • Provide capital, technology, and infrastructure to support the pod and generate alpha.

Skills

Power markets
Python
Quantitative modelling
Team leadership
P&L ownership
Risk management
Autonomy

Job description

AAA Global is seeking a Senior Systematic Power Trader to found and lead a trading pod across European or US power markets. You will own strategy, risk, and the team-building process, with autonomy and substantial capital support to scale your edge.

You should bring 7+ years of independent trading in power, demonstrated P&L, and strong quantitative and programming skills, including Python, to drive alpha and risk controls for the firm.

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