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Senior Technical Business Analyst

salary Salary :

£150,000 - 160,000 yearly

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Number of Applicants

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000+

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Job Description - Senior Technical Business Analyst

Senior Technical Business Analyst | £150,000 | Permanent | London - 3 days Onsite

Industry: Commodity Trading

Location: London - 3 days Onsite

Job Type: Permanent

Our client is a global commodity trading house operating across energy and commodities markets, including power, gas and LNG. They are seeking a Senior Technical Business Analyst to sit at the intersection of front office trading and technology delivery, helping shape the pricing tools, curve analytics and market data infrastructure that underpin trading activity across the business.

This is a highly commercial and analytical role focused on forward curve construction, fair value pricing and front office tooling. You will work closely with traders, quants and market risk teams to build and enhance pricing models across power, gas and LNG markets, while also acting as a key bridge into technology and analytics teams.

The role requires someone who combines deep commodity market understanding with strong technical capability and the ability to independently deliver solutions in a fast-moving trading environment.

What You’ll Be Doing

  1. Build, maintain and improve power forward curves and fair value pricing models, incorporating key market drivers including gas prices, carbon costs, generation stack economics, weather and demand dynamics.
  2. Develop and validate forward curves across gas and LNG markets, including handling illiquid tenors and understanding the interaction between global LNG pricing benchmarks.
  3. Work directly with traders, quants and market risk teams to capture commercial requirements and translate them into clearly defined technical initiatives.
  4. Build proof of concepts and analytical tooling in Python and Excel, with the ability to deliver production-ready solutions where appropriate.
  5. Act as product owner for internal pricing, analytics and visualisation tools, maintaining a prioritised roadmap aligned to front office requirements.
  6. Support the implementation and enhancement of trading analytics infrastructure, ensuring scalability and alignment with business growth objectives.
  7. Leverage modern development practices and AI-assisted tooling to improve delivery speed, automation and documentation quality.
  8. Provide hands-on support for traders using pricing tools, market data feeds and analytical models as part of day-to-day trading operations.

Requirements

Essential

  1. Strong experience within commodity trading environments, with particular expertise across power markets, forward curve construction and fair value pricing methodologies.
  2. Deep understanding of power market fundamentals, including gas, carbon, renewables, hydro, demand and generation stack dynamics.
  3. Knowledge of spark spreads, dark spreads and cross-commodity pricing relationships within power generation economics.
  4. Strong understanding of gas and LNG markets, including global benchmark pricing relationships and curve construction in less liquid markets.
  5. Excellent technical capability in Python and Excel, including building pricing models, automating processes and constructing analytical tooling independently.
  6. Experience working closely with front office trading teams and translating commercial workflows into scalable technology solutions.
  7. Strong understanding of the trade lifecycle and how front office activity impacts downstream risk, P&L and operational processes.
  8. Ability to operate autonomously within a flat, high-performance trading environment and take ownership of delivery.

Highly Desirable

  1. Experience working with ETRM systems and understanding trade data flows across trading platforms.
  2. Exposure to pricing analytics, visualisation platforms or internal front office tooling ownership.
  3. Experience bridging front office, quantitative and engineering teams within trading organisations.
  4. Familiarity with AI-assisted development tooling and modern delivery practices.
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