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Quantitative Analyst - Physical Energy Markets

eFinancialCareers·London (South East England)On-sitePermanent
£350 000 / yearestimated
Vox Summary
  • Role Focus: Develop and enhance quantitative models for physical energy trading, especially power and gas, supporting trading strategies and risk management.
  • Key Requirements: Proven experience in physical energy markets; strong academic background in quantitative disciplines; programming skills in Python and/or C++.
  • Conditions/Benefits: Onsite working in Central London; permanent contract; salary up to £350,000 GBP; physical market knowledge essential.
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Job description

£Up to £350,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Quantitative Analyst - Energy (Power & Gas Focus) A leading financial institution is expanding its European commodities division and is seeking a Quantitative Analyst to join its Power & Gas trading team. While the role is primarily focused on power and gas, candidates with strong experience across other physical energy markets (LNG, oil, coal, renewables) will also be considered. Physical market knowledge is essential. Key Responsibilities: • Develop and enhance quantitative models to support the trading of physical energy products, with a particular focus on power and gas. • Build and maintain tools to optimize physical trading strategies, asset-backed arbitrage, and cross-border opportunities. • Support traders by providing quantitative insights into exposures, hedging strategies, and physical optionality. • Improve and scale existing models and risk infrastructure to capture the complexities of physical positions, including storage, transportation, and capacity. • Ensure robustness and reliability of analytics in live market conditions. • Document methodologies and communicate model assumptions across trading, risk, and technology teams. Requirements: • Proven experience in physical energy markets (power, gas, LNG, oil, coal, or renewables). • Strong academic background in a quantitative discipline (Mathematics, Physics, Engineering, or similar at MS/PhD level). • Experience developing and implementing quantitative models for trading and risk management. • Previous front-office exposure, working closely with physical traders. • Knowledge of derivatives pricing and hedging strategies in the context of physical positions and asset-backed trading. • Strong programming ability in Python and/or C++, with a track record of delivering production-level tools.

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Original source
reed.co.uk
Posted
Jul 13, 2026 · true date
Last verified
4 hours ago
Quality score
35/100
Salary stated0
Company identified0
applyUrl0
postedAt15
Complete description20

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