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

Courbevoie, France
Full-time
Mid-level
Posted: August 21, 2025
On-site
EUR 80,000 - 120,000 per year based on the mid-level experience requirement, specialized quantitative finance expertise, and location in the Paris financial district. The role's focus on complex derivatives modeling and direct trader support typically commands premium compensation in the European energy trading market.

Benefits

Career development opportunities within a global leader in low-carbon energy transformation
Access to cutting-edge quantitative modeling technologies and advanced derivatives pricing systems
International exposure working across 20 countries with over 10,000 energy experts
Professional growth within a specialized team of 115 quantitative analysts in the Expertise Center
Equal employment opportunities with commitment to diversity and gender-neutral environment
Disability accommodation support and inclusive workplace culture
Direct collaboration with trading desks managing complex financial assets

Key Responsibilities

Lead end-to-end development of sophisticated derivatives pricing models from data preparation through implementation and validation, directly impacting trading profitability
Design and implement theoretical pricing formulas for complex gas derivatives, ensuring mathematical rigor and market consistency
Develop high-performance pricing and risk management engines within official pricing libraries, maintaining institutional-grade code quality
Provide strategic quantitative support to gas trading desks, translating complex business needs into actionable modeling solutions
Drive innovation in risk assessment methodologies for midstream and upstream gas trading operations serving internal and external clients
Ensure algorithmic performance optimization and maintain rigorous testing protocols for all new functionalities
Collaborate directly with traders to understand market dynamics and deliver concrete solutions for portfolio management challenges

Requirements

Education

Engineering or university degree (Master or PhD) in Computer Sciences, Applied Mathematics, Statistics, Physics, Financial Engineering

Experience

At least 5 years' experience of working in a trading environment, focusing on advanced model developments

Required Skills

Strong mathematical skills, expert in Quantitative Finance Good understanding of the trading and portfolio management business Proficient object-oriented programming skills (C#, Python) Practical and conceptual thinking Ability to explain complex issues Ability to deliver concrete solutions Conceptual thinking, rigor, motivation, strong commitment, autonomy Working together, communication and adaptability Fluent in English Programming language (C#, Python, …), Visual Studio, GIT
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The energy sector is experiencing unprecedented transformation toward decarbonization, creating high demand for quantitative analysts who can model renewable energy assets and carbon-neutral trading strategies. This shift requires sophisticated mathematical models to handle the complexity of intermittent renewable sources and their integration into traditional energy markets. Regulatory changes in European energy markets, particularly around gas trading and carbon pricing mechanisms, are driving the need for advanced quantitative modeling capabilities to ensure compliance and optimize trading strategies in an evolving regulatory landscape. The increasing digitization of energy trading platforms and the adoption of machine learning techniques in derivatives pricing are revolutionizing traditional quantitative finance roles, requiring professionals who can bridge classical mathematical finance with modern computational methods.

Role Significance

The role operates within a 15-person Pricing team, which is part of a larger 115-analyst Expertise Center, suggesting a collaborative environment with opportunities for specialization and knowledge sharing across multiple quantitative disciplines.
This is a mid-to-senior level individual contributor role with significant technical ownership and direct business impact. The position requires independent model development and direct collaboration with trading desks, indicating substantial responsibility and expertise requirements within the quantitative research hierarchy.

Key Projects

Development of next-generation gas derivatives pricing models incorporating volatility surface modeling and exotic option pricing for European gas markets Implementation of real-time risk management systems capable of handling complex portfolio exposures across physical and financial gas trading positions Creation of automated calibration frameworks for multi-factor models used in long-term gas supply contract valuation and hedging strategies

Success Factors

Deep understanding of both theoretical mathematical finance and practical trading applications, requiring the ability to translate complex academic concepts into production-ready trading systems Strong programming capabilities combined with rigorous testing and documentation practices, as model accuracy and reliability directly impact trading profitability and regulatory compliance Excellent communication skills to effectively collaborate with traders and explain sophisticated quantitative concepts to non-technical stakeholders, bridging the gap between quant research and business operations Adaptability to rapidly changing market conditions and regulatory requirements in the European energy sector, requiring continuous learning and model enhancement capabilities

Market Demand

High demand driven by the energy transition requiring sophisticated risk management and the scarcity of professionals combining quantitative finance expertise with energy market knowledge. The specialized nature of gas derivatives modeling creates a competitive talent market.

Important Skills

Critical Skills

Advanced mathematical modeling expertise is absolutely essential as the role requires developing sophisticated derivatives pricing models from theoretical foundations through practical implementation, directly impacting trading profitability and risk management effectiveness Proficient programming skills in C# and Python are crucial for autonomous development and implementation of pricing engines, as the role requires hands-on coding rather than theoretical work alone Deep understanding of trading and portfolio management business is vital for translating trader requirements into effective quantitative solutions and ensuring models align with practical market realities

Beneficial Skills

Experience in commodity markets, particularly gas trading, provides significant advantage in understanding market dynamics and developing relevant modeling approaches for the specific asset class Knowledge of regulatory frameworks in European energy markets enhances ability to develop compliant models and anticipate regulatory impact on trading strategies Machine learning and data science capabilities are increasingly valuable as the industry adopts more sophisticated analytical techniques for price forecasting and risk assessment

Unique Aspects

Direct exposure to the intersection of traditional gas trading and renewable energy integration, providing unique experience in the evolving energy landscape that few other positions can offer
Access to one of Europe's most sophisticated energy trading operations with exposure to both physical and financial markets across multiple commodities and geographies
Opportunity to contribute to the development of next-generation energy trading models that support the transition to carbon-neutral energy systems
Work within a dedicated Expertise Center structure that promotes knowledge sharing and professional development among quantitative professionals
Involvement in modeling challenges that directly support ENGIE's mission to accelerate the transition toward a carbon-neutral world while maintaining commercial viability

Career Growth

Typical progression to senior individual contributor roles occurs within 2-3 years, while advancement to management positions typically requires 4-6 years of demonstrated success in model development and team collaboration within the energy trading environment.

Potential Next Roles

Senior Quantitative Analyst or Team Lead within ENGIE's quantitative research division, leading model development initiatives across multiple asset classes Quantitative Research Director overseeing pricing model development across the entire Supply & Energy Management division Head of Risk Management for specific trading desks, applying quantitative expertise to broader risk strategy and portfolio optimization External opportunities as Director of Quantitative Research at energy trading firms or senior positions at energy-focused hedge funds

Company Overview

ENGIE Global Markets S.A.S.

ENGIE is a Fortune Global 500 company and one of Europe's largest energy companies, with 96,000 employees worldwide and operations across the entire energy value chain. The company is undergoing a strategic transformation from traditional fossil fuel operations toward renewable energy and low-carbon solutions, positioning it as a leader in the energy transition.

ENGIE holds a dominant position in European energy markets and ranks among the top global energy companies by revenue and renewable energy capacity. The Supply & Energy Management division manages one of the largest energy trading operations in Europe, handling complex portfolios worth billions of euros.
The Courbevoie location places the role at the heart of ENGIE's European trading operations, with direct access to major European energy markets and close proximity to La Défense financial district. This positioning provides exposure to high-level strategic decisions and access to senior leadership within the organization.
ENGIE's culture emphasizes technical excellence and innovation in the context of environmental sustainability. The work environment is highly collaborative with strong emphasis on diversity and inclusion, offering a mission-driven culture focused on contributing to global energy transformation while maintaining commercial excellence.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.