Trading Analyst

Cititec; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Cititec partners with an energy trading company to recruit a highly technical LNG Analytics Analyst to join a front-office LNG trading team. The role focuses on developing analytical models, market intelligence and quantitative tools to support trading, structuring and commercial decision-making across global LNG markets.

Responsibilities include building valuation, pricing and portfolio analytics, automation with Python, and collaborating with traders to optimise portfolio performance using

Qualifications

• Experience within LNG trading, analytics or quantitative analysis in an energy trading environment.
• Strong understanding of global LNG markets and market fundamentals.
• Experience with valuation, pricing and portfolio analytics across physical and financial commodity markets.
• Strong quantitative skills with experience in statistical analysis, forecasting or modelling.
• Advanced Python skills and experience working with large market datasets.
• Excellent analytical and problem-solving skills with the ability to communicate complex insights to front-office stakeholders.
• Experience building fundamental supply and demand models or proprietary forward curves.

Responsibilities

• Develop analytical tools and quantitative models to support LNG trading and structuring activities.
• Perform valuation, pricing and pre-deal analysis for physical and financial LNG transactions.
• Build and maintain portfolio, exposure and P&L analytics for front-office decision making.
• Analyse global LNG market fundamentals, including supply, demand, shipping, storage and regional gas market dynamics.
• Develop fundamental market models and forward curve analytics to support trading strategies.
• Work closely with traders to identify commercial opportunities and optimise portfolio performance.
• Automate analytical processes and enhance front-office tools using Python and modern data techniques.

Skills

Python

Quantitative analysis

Statistical analysis

Forecasting

Modelling

LNG trading knowledge

Portfolio analytics

Front-office communication

Data handling

Job description

Cititec are working with an energy trading company who specialise in Power, Gas, and LNG. They are seeking a highly technical LNG Analytics Analyst to join a front-office LNG trading team. This role will focus on developing analytical models, market intelligence and quantitative tools to support trading, structuring and commercial decision-making across global LNG markets.

Key Responsibilities

• Develop analytical tools and quantitative models to support LNG trading and structuring activities.
• Perform valuation, pricing and pre-deal analysis for physical and financial LNG transactions.
• Build and maintain portfolio, exposure and P&L analytics for front-office decision making.
• Analyse global LNG market fundamentals, including supply, demand, shipping, storage and regional gas market dynamics.
• Develop fundamental market models and forward curve analytics to support trading strategies.
• Work closely with traders to identify commercial opportunities and optimise portfolio performance.
• Automate analytical processes and enhance front-office tools using Python and modern data techniques.

Requirements

• Experience within LNG trading, analytics or quantitative analysis in an energy trading environment.
• Strong understanding of global LNG markets and market fundamentals.
• Experience with valuation, pricing and portfolio analytics across physical and financial commodity markets.
• Strong quantitative skills with experience in statistical analysis, forecasting or modelling.
• Advanced Python skills and experience working with large market datasets.
• Excellent analytical and problem-solving skills with the ability to communicate complex insights to front-office stakeholders.
• Experience building fundamental supply and demand models or proprietary forward curves.
• Knowledge of LNG shipping economics, optimisation or commercial contract structures.
• Exposure to option pricing, stochastic modelling or quantitative risk techniques.
• Experience developing front-office analytics, pricing libraries or trading tools.