STAT Analyst - Energy Trading Analytics (Hybrid)

EDF Trading Limited; Paris; Hybrid; EUR 65,000 - 100,000; Full time

Benefits offered by this job

Hybrid working

Personal pension plan

Private medical and dental insurance

Bi-annual health assessments

Electric car lease programme

Cycle-to-work scheme

Season ticket loans

Volunteering opportunities

Job summary

EDF Trading Limited is seeking a STAT Analyst in Paris to join the Short Term Analytics team. The role focuses on daily optimization and risk assessment of EDF's asset portfolio, with real-time data analysis and support for trading desks in Paris and London.

The position requires a degree in statistics or mathematics, fluency in French and English, and strong skills in Python and JavaScript. Flexible/Hybrid work arrangements are offered with a diverse, international team.

Qualifications

• Experience in a commodities trading environment or closely related field.
• Fluent in French & English.
• Educated to degree level with statistics or mathematics.
• Interest or skills in optimization models and machine learning.
• Proficiency in Python and JavaScript; knowledge of MongoDB, SQL, Rust desirable.

Responsibilities

• Conduct EDF system risk analysis.
• Collate and analyse real-time data relative to the EDF asset portfolio.
• Create and run risk analyses for ID, DA, WA timeframes.
• Communicate time-sensitive information to the traders in Paris and London.
• Develop and enhance analytical tools used for front office operations.
• Ensure data availability and quality across the portfolio.

Skills

Analytical thinking

Fluent in French & English

Ability to work under pressure

Communication skills

Education

Degree in statistics or mathematics

Tools

Python

JavaScript

MongoDB

SQL

Rust

Job description

EDF Trading Limited is seeking a STAT Analyst in Paris to join the Short Term Analytics team. The role focuses on daily optimization and risk assessment of EDF's asset portfolio, with real-time data analysis and support for trading desks in Paris and London.

The position requires a degree in statistics or mathematics, fluency in French and English, and strong skills in Python and JavaScript. Flexible/Hybrid work arrangements are offered with a diverse, international team.