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Apprentice - Quantitative Analyst - Job Opportunity at ENGIE Global Markets S.A.S.

Courbevoie, France
Internship
Entry-level
Posted: March 27, 2025
On-site
EUR 35,000-45,000 per year for apprenticeship positions in quantitative finance roles in Paris region

Benefits

Professional development opportunities in quantitative finance
Work-life balance focus
Global exposure in energy markets
Collaborative team environment
Mentorship from experienced quants

Key Responsibilities

Develop and implement quantitative models using Python and C# for energy market analysis
Collaborate with traders to provide quantitative support and develop pricing tools
Work on HJM models with stochastic volatility including implementation of Monte Carlo simulations
Develop machine learning models for volatility surface generation
Participate in model validation and P&L attribution analysis

Requirements

Education

Master's Degree in Mathematics, Financial Mathematics, or Engineering

Experience

Junior (experience < 3 years)

Required Skills

Advanced probability and stochastic calculus Financial quantitative analysis Object-oriented programming (C#, Python) TensorFlow or JAX experience Strong analytical and synthesis capabilities Adaptability and problem-solving skills
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Sauge AI Market Intelligence

Industry Trends

Energy market digitalization is driving increased demand for quantitative analysts with both traditional financial modeling and machine learning expertise Integration of renewable energy sources is creating new modeling challenges and opportunities in energy trading The shift towards automated trading systems is elevating the importance of sophisticated pricing models

Role Significance

Part of a 12-person quantitative research team focusing on power markets
Entry-level position with significant learning potential in a sophisticated quantitative team

Key Projects

Development of stochastic volatility models for energy markets Implementation of machine learning approaches to derivative pricing Creation of trading decision support tools

Success Factors

Strong mathematical foundation combined with practical programming skills Ability to bridge theoretical models with practical trading applications Proactive collaboration with traders and other stakeholders Quick learning ability in a fast-paced trading environment

Market Demand

High demand with growing emphasis on combined quantitative/ML skills in energy trading

Important Skills

Critical Skills

Stochastic calculus and financial mathematics for sophisticated model development Python/C# programming for practical implementation Machine learning frameworks for modern pricing approaches

Beneficial Skills

Energy market knowledge Risk management concepts Data visualization skills Cloud computing platforms

Unique Aspects

Rare opportunity to work on cutting-edge quantitative models in energy markets
Combination of traditional financial modeling with machine learning applications
Direct exposure to both physical and financial energy products

Career Growth

1-2 years in apprentice role with opportunity for permanent position, followed by 2-3 years to reach mid-level quant analyst position

Potential Next Roles

Quantitative Analyst Senior Quantitative Researcher Trading Strategy Developer Risk Model Developer

Company Overview

ENGIE Global Markets S.A.S.

ENGIE is a global leader in low-carbon energy and services, with GEMS division managing energy trading and risk across multiple commodities

Leading position in European energy trading with significant global presence
Strategic location in Paris region with access to major European energy markets
Innovation-focused environment with emphasis on work-life balance and professional development
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