Hybrid Energy Trading Short-Term Analyst

EDF Trading Limited; Paris; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid working

Personal pension plan

Private medical and 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, part of the EDF Group, is seeking a Short-Term Analytics professional based in Paris. The role involves optimizing EDF assets and supporting trading desks across Europe with real-time data analyses, risk modeling, and tool development using Python, JavaScript (and occasional Rust).

You will work closely with the Short-Term Analytical Team to forecast costs, manage flexibility, and contribute to market understanding, while embracing a hybrid work pattern and international

Qualifications

• Experience in commodities trading or asset optimization is preferred.
• Degree level with a focus on statistics or mathematics.
• Interest or skills in building optimization models and machine learning.
• Proficiency in Python and JavaScript; knowledge of MongoDB/SQL; Rust desirable.

Responsibilities

• Operational duties: conduct EDF system risk analysis; collate real-time data; run risk analyses for ID/DA/WA; communicate with traders in Paris and London; optimize assets on OTC and EPEX; support market analysis for Europe.

Skills

French

English

Analytical mindset

Education

Degree in Statistics/Mathematics

Tools

Python

JavaScript

MongoDB

SQL

Rust

Job description

EDF Trading, part of the EDF Group, is seeking a Short-Term Analytics professional based in Paris. The role involves optimizing EDF assets and supporting trading desks across Europe with real-time data analyses, risk modeling, and tool development using Python, JavaScript (and occasional Rust).

You will work closely with the Short-Term Analytical Team to forecast costs, manage flexibility, and contribute to market understanding, while embracing a hybrid work pattern and international