Energy Trading Operations Analyst in London

Job Description

Energy Trading Operations Analyst – Power & Wind PPAs (Structured Energy Trading)

Location: London

Office: 4 days per week

Salary: £65,000 – £75,000

Role Overview

We are working with a specialist energy and investment firm focused on the execution and management of wind and renewable Power Purchase Agreements (PPAs).

This role sits within trading operations and is responsible for the day-to-day management of a live PPA portfolio, ensuring accurate pricing, valuation, onboarding, and lifecycle tracking of structured energy contracts.

You’ll work closely with originators, traders, quants, and back office teams to ensure PPA assets are correctly modelled, reflected in systems, and accurately represented across reporting and valuation.

While systems are largely automated, this role is critical for data integrity, modelling accuracy, and operational control of renewable energy assets.

Key Responsibilities

• Manage day-to-day operations of a PPA trading book (wind-focused)
• Support pricing, valuation, and modelling of PPA assets
• Lead PPA onboarding, including system setup and modelling inputs
• Maintain and reconcile asset-level and transactional data quality
• Investigate valuation, pricing, and settlement breaks
• Ensure accurate reflection of contract terms across systems and reporting
• Work with trading, origination, and quants on commercial and modelling alignment
• Support reporting on portfolio performance and PPA exposure
• Drive improvements in automation, data quality, and operational efficiency

Stakeholders

• Traders & Originators
• Quants
• Back Office / Operations
• External counterparties (some direct interaction)

Experience Required

• 2+ years in operations, middle office, trade support, or structured finance
• Strong preference for exposure to: Renewable energy / wind PPAs, Physical commodities, Structured products or derivatives
• Experience handling large datasets in an operational environment

Skills

• Strong Excel skills
• Basic Python (coding capabilities)
• Data reconciliation / validation experience
• SQL beneficial

Profile

• Numerical degree (Engineering, Economics, Mathematics, Accounting, etc.)
• High attention to detail and strong analytical mindset
• Comfortable in fast-paced, control-focused environments
• Interest in energy markets and structured contractual products
• Strong communicator across technical and commercial teams