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Quant Lead - BESS

Harvey NashSouth East London, London🇬🇧United Kingdom

Quick overview

SeniorityMid Senior
Employment typeTemporary/Casual
Work modeOn Site
LocationSouth East London, London, United Kingdom
DockerGCPAWSNumPyAirflowPandasPythonAzureMachine Learning

Job description

Quant Lead - BESS Optimisation

Location: London - Onsite
Engagement: Long-term contract through Alenia Consulting
Compensation: Highly competitive, above-market rate


The Opportunity

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.

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

  • Build and deploy BESS dispatch and bidding optimisation models across day-ahead, intraday and balancing markets.

  • Develop MILP/LP optimisation models and revenue-stacking strategies.

  • Build battery models covering state of charge, efficiency, degradation and operating constraints.

  • Develop forecasting, backtesting and P&L attribution capabilities.

  • Establish scalable processes for onboarding new battery assets.

  • Own the quantitative roadmap and lead a growing team of quants.


Essential Requirements

  • Proven experience optimising live BESS assets in production - mandatory.

  • 6+ years' quantitative experience within energy trading, utilities, aggregators or BESS developers.

  • 2+ years' project or team leadership experience.

  • Strong MILP/LP and mathematical optimisation knowledge.

  • Excellent Python skills (Pandas, NumPy, Pyomo, Linopy or CVXPY).

  • Strong understanding of European power markets, including day-ahead, intraday and ancillary services.

  • Experience with optimisation solvers such as Gurobi or CPLEX.

  • Master's or PhD in a quantitative discipline.


Desirable

  • Battery degradation and warranty-aware modelling.

  • Price and imbalance forecasting using machine learning.

  • Renewable energy and hybrid asset experience.

  • Real-time or algorithmic energy trading.

  • AWS, GCP, Azure, Docker or Airflow.


What's on Offer?

  • Opportunity to build a BESS optimisation function from the ground up.

  • Long-term engagement with a growing energy business.

  • Highly competitive, above-market compensation.

  • Ownership of the optimisation roadmap and opportunity to build a specialist team.


Apply

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.

All applications will be treated confidentially.

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