Quant Lead - BESS

Harvey Nash UK; Greater London; On-site; GBP 110,000 - 160,000; Full time

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

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.