Commodity Risk Manager - European Gas and Power
We are seeking an exceptional Commodity Risk Manager to join a growing global Commodities Risk function. This role supports the expansion of a rapidly developing commodities trading business by providing senior leadership with a clear, accurate and inclusive view of risk across markets. The successful candidate will act as a strategic partner to trading teams, offering challenge, guidance and support as the business continues to scale.
The commodities division is one of the organisation's fastest growing areas, adding new markets, products and talent in multiple regions to strengthen both physical and financial trading capabilities.
Key Responsibilities
* Critically assess trading strategies, profit generation and risk allocation using a strong understanding of commodity fundamentals and wider macroeconomic drivers
* Design, enhance and implement risk capabilities to support business growth which includes developing new risk systems and building analytical tools in Python for the internal risk technology library
* Work proactively with risk managers in other asset classes by sharing insights on commodity specific risks and incorporating cross asset perspectives where relevant
* Communicate risk issues to senior stakeholders in a clear, concise and balanced manner
* Demonstrate a hands on approach to all responsibilities within the commodities risk remit
* Support the onboarding of new European power and gas markets and products and develop robust risk frameworks for physical assets, balancing activities and intraday exposures
Requirements
* A minimum of eight years' experience in commodity risk management, trading or quantitative analysis with a strong focus on physical European gas and power markets
* Strong knowledge of physical power and gas asset structures including storage, swing contracts, interconnector capacity and tolling arrangements
* Experience within European intraday power and gas trading, including balancing markets and environments involving high frequency execution
* Strong technical capability in Python, SQL and Excel including familiarity with packages such as pandas, numpy and common data visualisation libraries
* Solid understanding of risk methodologies including Value at Risk and stress testing
* A quantitative academic background such as engineering, mathematics, physics, statistics, economics or finance
Preferred Qualifications
* Experience across additional commodity markets such as liquefied natural gas, oil and refined products or freight
* Relevant professional certifications such as the Chartered Financial Analyst, Financial Risk Manager, Energy Risk Professional or Professional Risk Manager
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