Quant Lead, BESS Optimisation & Dispatch

Harvey Nash Group

Greater London

On-site

GBP 110,000 - 160,000

Full time

6 days ago
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Job summary

Harvey Nash Group is seeking a Quant Lead with proven BESS optimisation experience to build and lead the optimisation capability for a growing battery storage portfolio in London. This hands-on leadership role will develop production-ready optimisation models, shape trading strategies and collaborate with Trading, Engineering and Asset Management.

You will own the quantitative roadmap, lead a team of quants, and establish scalable processes for onboarding new battery assets, delivering

Qualifications

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

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.

Skills

MILP/LP optimization
Python optimization
European power markets
Gurobi/CPLEX
Leadership experience
Quantitative energy trading
Advanced degree

Education

Master's or PhD in a quantitative discipline

Tools

Gurobi
CPLEX

Job description

Harvey Nash Group is seeking a Quant Lead with proven BESS optimisation experience to build and lead the optimisation capability for a growing battery storage portfolio in London. This hands-on leadership role will develop production-ready optimisation models, shape trading strategies and collaborate with Trading, Engineering and Asset Management.

You will own the quantitative roadmap, lead a team of quants, and establish scalable processes for onboarding new battery assets, delivering

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