Short-Term Power Market Analyst: Data & Modelling

EDF Trading; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid working

Personal pension plan

Private medical insurance

Dental insurance

Bi-annual health assessments

Corporate gym memberships

Electric car lease programme

Childcare vouchers

Cycle-to-work scheme

Season ticket loans

Volunteering opportunities

Job summary

EDF Trading in London seeks a Short-Term Power Market Analyst to maximise month-ahead to day-ahead opportunities. You will work in a front-office setting with traders and asset managers, delivering detailed market analysis and developing models for price forecasting and risk management.

The role requires a Master’s in statistics or mathematics and strong data science skills, including Python and PowerBI. Hybrid work is offered with focus on accuracy and proactive process improvement.

Qualifications

• Fluent in French and English with strong communication.
• Master's degree in statistics or mathematics is preferred.
• Experience in building stochastic or deterministic optimization models.

Responsibilities

• Provide data analytics and risk analysis on short-term power markets.
• Support price forecasts and trading strategies for the desk.
• Lead or contribute to modelling lifecycle from research to deployment.
• Improve robustness of applications and participate in peer reviews.

Skills

Fluent in French

Fluent in English

Data science

Python

Web development

Git

Optimization modelling

Statistical/mathematical background

Analytical thinking

Communication under pressure

Education

Master's degree in statistics or mathematics

Tools

PowerBI

Job description

EDF Trading in London seeks a Short-Term Power Market Analyst to maximise month-ahead to day-ahead opportunities. You will work in a front-office setting with traders and asset managers, delivering detailed market analysis and developing models for price forecasting and risk management.

The role requires a Master’s in statistics or mathematics and strong data science skills, including Python and PowerBI. Hybrid work is offered with focus on accuracy and proactive process improvement.