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InfraBe

Lead/ Senior Quant Trader - Battery Optimization

London
Posted about 12 hours ago
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Company: Private Equity Backed European Battery Storage Platform (operational assets + large mature development pipeline)

Role Location: Europe (Remote + travel)

This role carries a significant mandate and the autonomy to shape the platform's optimization and pricing capabilities, and with them our strategic position in the market.

The initial focus is on building a pricing and optimization toolkit for European BESS - as the portfolio matures, the role grows into live trading and optimization.

What you'll do

BESS optimizer: Design, build and own our multi-market BESS optimizer, covering revenue stacking, dispatch scheduling and bid generation across day-ahead, intraday and ancillary services markets. Prove it out through shadow trading against live markets, then harden it into a production-ready system for live trading in key markets.

Trading & optimizer tech stack: Work closely with the trading technology team to shape our trading and optimization stack: algo bidding, forecasting inputs, ETRM and risk tools.

Market analysis & price curves: Build and maintain short- and medium-term power market analysis and price curves (day-ahead, intraday, ancillary services, capacity) across core operational markets, underpinning trading, dispatch and investment decisions.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Backtesting frameworks: Design and implement robust backtesting frameworks to evaluate trading and dispatch strategies and to benchmark internal and third-party optimizer performance.

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Risk, PnL & reporting: Build exposure, PnL and performance reporting for the fleet in close collaboration with the Risk Manager; help establish risk frameworks and ensure compliance with market rules.

Collaboration & mentoring: Partner with investment, asset management and finance teams to translate market insight into portfolio decisions; mentor junior analysts as the team grows.

Trading strategies & execution: Develop, test and, as the in-house capability matures, execute trading and bidding strategies across day-ahead, intraday and ancillary services markets in Europe.

What you'll need

  • 5+ years in a front-office quant, trading analytics, energy trading or asset-optimization role in short-term European power markets, with exposure to flexibility assets; direct BESS experience strongly preferred.
  • Strong quantitative modelling skills: BESS dispatch optimization (e.g., LP/MILP), revenue stacking, price analysis and forecasting, and scenario modelling, with a solid understanding of modelling techniques, inputs and parameters, and their limitations.
  • Proven proficiency in Python and SQL, with experience building production-grade analytics: data pipelines, backtesting frameworks and dashboards. Familiarity with optimization libraries and cloud tooling a plus.
  • Strong knowledge of European short-term power markets, energy exchanges and ancillary services (e.g., EPEX Spot / Nord Pool day-ahead and intraday, FCR/aFRR/mFRR, capacity mechanisms); experience in the platforms core markets a strong plus.
  • Good understanding of risk and PnL management in an asset-backed trading context.
  • Experience working with, or benchmarking, optimizers and route-to-market providers is a plus.
  • Relevant degree in a quantitative field (Engineering, Mathematics, Physics, Economics, Finance); postgraduate qualifications or energy-trading certifications a plus.
  • A pragmatic builder's mindset: comfortable in a scale-up environment where tools are built from scratch and priorities evolve quickly.
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Skills

BESS Optimization
Quantitative Modelling
Python
SQL
Revenue Stacking
Price Forecasting
LP/MILP
Backtesting Frameworks
PnL Management
Energy Trading
Risk Management
Market Analysis
Algo Bidding
ETRM
Ancillary Services
Dispatch Scheduling

Location

London, England, United Kingdom

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