Quantitative Trading & Research - Energy Quantitative Research - Vice President or Executive Di[...]

Join a high-impact quantitative team shaping the future of energy markets. You'll build advanced valuation models and analytical tools that power commercial innovation across power and gas. Collaborate directly with trading, structuring, sales, and technology to price complex products and manage risk. Own models end to end—from research and design to production deployment and continual enhancement. Make a meaningful impact while developing your craft in a fast‑paced, supportive environment.

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• Develop pricing and risk models for vanilla and structured products, including research, design, production implementation, testing, governance, and documentation.
  
• Partner with trading and sales to identify and create new commercial opportunities.
  
• Build analytical tools for front‑office use, including pricing workflows, model calibration utilities, and strategy back‑testing frameworks.
  
• Provide quantitative analysis and support to front‑office teams and control functions.
  
• Lead projects, set priorities, and take end‑to‑end ownership of outcomes, partnering across teams to deliver cross‑functional initiatives.
  
• Mentor, support, and help develop junior team members.
  
• Provide technical guidance on the use and maintenance of models and tools developed by the team.
  

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• Advanced degree (master's or PhD) in a quantitative field, or equivalent experience.
  
• Extensive familiarity with European power and gas markets, including associated physical and financial products.
  
• Deep understanding of mathematical and numerical techniques used in valuation models, including stochastic calculus, probability theory, optimisation, and Monte Carlo methods.
  
• Strong programming skills with proficiency across languages (preferably including Python and C++), with the ability to implement production‑quality models efficiently.
  
• Commercial focus with effective communication skills, and the ability to understand and anticipate desk needs and translate them into tangible deliverables.
  

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• Experience with market fundamentals and forecasting models in power and gas.
  
• Ability to apply machine learning and data science techniques to commodities markets and models.
  
• Expertise in financial derivatives, including exotic or multi‑asset options.
  
• Familiarity with the broader energy and commodities markets beyond power and gas.