Senior Quantitative Analyst

Overview

In this role, you will drive portfolio risk analysis, revenue modelling, and commercial strategy for a leading battery energy storage business. You’ll work within a finance/analytics context to support investment decisions, route-to-market arrangements, and ongoing management of merchant and contracted revenues. You will build and refine quantitative models to assess market, revenue, and cash-flow risk across BESS assets, translating insights into actionable recommendations for senior stakeholders. This is a hands-on role that combines advanced analytics with strategic input to optimize portfolio performance in evolving energy markets. You will collaborate across teams to shape commercial le

Responsibilities

• Analyse market, revenue, and cash-flow risk across BESS assets and portfolios
• Develop quantitative risk models, including stochastic modelling, Monte Carlo simulations, and stress testing
• Assess revenue opportunities across wholesale markets, balancing mechanisms, and ancillary services
• Evaluate route-to-market structures, including tolling, floors, and hybrid agreements, with risk mitigation
• Support investment appraisals, acquisitions, financing, and commercial decision-making
• Monitor portfolio performance, market exposure, and third-party optimisation arrangements
• Present risk analysis and commercial recommendations to senior management and key stakeholders
• Develop and improve analytical models, reporting processes, and risk management frameworks

Key requirements

• Degree in mathematics, statistics, engineering, economics, or another quantitative discipline
• Experience in quantitative analysis, commercial analytics, or portfolio/market risk within energy, utilities, or commodity trading sectors
• Strong understanding of GB and German power markets, ideally with exposure to BESS or other flexible assets
• Advanced Python skills and proficiency in SQL, with experience handling large datasets and developing analytical models
• Experience in revenue modelling, risk assessment, forecasting, and scenario analysis
• Strong commercial awareness with the ability to translate complex analysis into actionable business insights

• commercial awareness
• strong communication to senior stakeholders
• data-driven decision making
• Python
• SQL
• Monte Carlo simulations

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