Quantitative Analyst - Physical Energy Markets - #2114358
eFinancialCareers
Date: 2 weeks ago
City: London
Contract type: Full time
Work schedule: Full day
£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:
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.
- 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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