Job Description \n Quant Lead - BESS Optimisation \n Location: London - Onsite Engagement: Long-term contract through Alenia Consulting Compensation: Highly competitive, above-market rate The Opportunity\n We are looking for an experienced Quant Lead with proven BESS optimisation experience to build and lead the optimisation capability for a growing battery storage portfolio. \n This is a hands-on leadership role where you will develop production-ready optimisation models, shape trading strategies and work closely with Trading, Engineering and Asset Management. Key Responsibilities\n \n \n \n \n Build and deploy BESS dispatch and bidding optimisation models across day-ahead, intraday and balancing markets. \n \n Develop MILP/LP optimisation models and revenue-stacking strategies. \n \n Build battery models covering state of charge, efficiency, degradation and operating constraints. \n \n Develop forecasting, backtesting and P&L attribution capabilities. \n \n Establish scalable processes for onboarding new battery assets. \n \n Own the quantitative roadmap and lead a growing team of quants. \n \n \nEssential Requirements\n \n \n \n \n Proven experience optimising live BESS assets in production - mandatory. \n \n 6+ years' quantitative experience within energy trading, utilities, aggregators or BESS developers. \n \n 2+ years' project or team leadership experience. \n \n Strong MILP/LP and mathematical optimisation knowledge. \n \n Excellent Python skills (Pandas, NumPy, Pyomo, Linopy or CVXPY). \n \n Strong understanding of European power markets, including day-ahead, intraday and ancillary services. \n \n Experience with optimisation solvers such as Gurobi or CPLEX. \n \n Master's or PhD in a quantitative discipline. \n \n \nDesirable\n \n \n \n \n Battery degradation and warranty-aware modelling. \n \n Price and imbalance forecasting using machine learning. \n \n Renewable energy and hybrid asset experience. \n \n Real Time or algorithmic energy trading. \n \n AWS, GCP, Azure, Docker or Airflow. \n \n \nWhat's on Offer?\n \n \n \n \n Opportunity to build a BESS optimisation function from the ground up. \n \n Long-term engagement with a growing energy business. \n \n Highly competitive, above-market compensation. \n \n Ownership of the optimisation roadmap and opportunity to build a specialist team. \n \n \nApply\n If you have built and deployed optimisation strategies for live battery assets and are interested in this opportunity, please submit your latest CV, highlighting relevant BESS projects and experience. \n All applications will be treated confidentially.
Quant Lead - BESS in Glasgow employer: Harvey Nash IT Recruitment UK
As a Clojure Software Developer at our company, you will be part of a dynamic and innovative team that values collaboration and continuous learning. We offer competitive day rates and the flexibility of fully remote working, allowing you to balance your professional and personal life effectively. Our supportive work culture fosters employee growth through hands-on experience with cutting-edge technologies, making this an excellent opportunity for those looking to advance their careers in software development.
Contact Details:
Harvey Nash IT Recruitment UK Recruitment Team
