Senior Market Risk Analyst- LNG

I am working with a leading international energy group , seeking an experienced Senior Market Risk Analyst to join its expanding LNG trading team in London. This is a great opportunity to play a central role in a high-growth environment, supporting one of Europe's most active and innovative LNG trading desks.

I am working with a leading international energy group , seeking an experienced Senior Market Risk Analyst to join its expanding LNG trading team in London. This is a great opportunity to play a central role in a high-growth environment, supporting one of Europe's most active and innovative LNG trading desks.

About the Opportunity

You'll be directly involved in managing market risk across a global LNG portfolio, working with both physical and financial products. The desk handles high-volume trades and international exposures, combining commercial deal-making with sophisticated analytics. You'll have daily collaboration with traders, quantitative specialists, and senior risk leads, providing oversight, insight, and actionable risk assessments in real time.

Key Responsibilities

• Produce daily analysis and reporting of market risk exposure for LNG trading activities (physical and financial)

• P&L attribution, valuation adjustments, risk limit monitoring, scenario modelling, and stress testing

• Support the desk by conducting VaR analysis and driving improvements in risk tools, reporting, and analytics

• Liaise between risk, trading, and senior stakeholders to deliver clear and meaningful market risk insights

• Drive controls, compliance, and best practice documentation across the risk function

• Contribute to the development of methodology and support approvals for new or non-standard products

Requirements

• Minimum 4 years' experience in market risk or risk analytics-ideally from an LNG, gas, or broader energy trading background

• Proven ability working with complex risk measurement, valuation, and reporting frameworks (P&L, VaR, Greeks, stress tests, scenario modelling)

• Advanced Excel and risk system skills; Python or VBA desirable

• Quantitative degree (finance, economics, mathematics, engineering or closely related field)

If onterested, please apply or send a copy of your updated CV to

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