Quantitative Risk Analyst

ENGIE - International Supply & Energy Management; Ukkel; On-site; EUR 90,000 - 130,000; Full time

Job summary

ENGIE S&EM is seeking a Quantitative Risk Analyst to join a cross-functional team focused on validation of pricing models for derivatives and calibration of risk models for market, credit, and liquidity risks. The role emphasizes rigorous modeling, software development in C# and Python, and a data-driven approach within a Big Data environment (AWS/Dataiku).

You will collaborate with Risk, IT and Front Office teams to build robust tooling and automated monitoring, while ensuring comprehensive

Qualifications

• Master’s degree or PhD in a quantitative field with strong modeling background.
• 4–5 years of hands-on work as a quantitative analyst in pricing/risk models.
• Experience transforming complex models into practical risk tools.

Responsibilities

• Validate pricing models for complex derivatives and risk models.
• Implement and test stochastic models in C# within the risk methodologies library.
• Develop alternative models for benchmarking valuation methods.
• Collaborate with Risk, IT and Front Office to deliver ad hoc tools and monitoring prototypes.
• Document models for traceability, audit, and regulatory compliance.
• Calibrate reserves and design risk metrics for market and credit risks.

Skills

Stochastic models

Statistics

C#

Python

Commodity markets

Big Data awareness

Education

Master’s degree or PhD in quantitative discipline

Tools

AWS

Dataiku

Job description

Location: Bruxelles - Belgique

About ENGIE and Supply & Energy Management

ENGIE, a global leader in low-carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers.

Quantitative Analyst Pricing & Risk Model

Quantitative Risk Analyst – Risk Methodologies & Pricing Models

Location: Bruxelles - Belgique

Context

As a Quantitative Risk Analyst, you will be part of a team that sits at the intersection of financial modeling, risk management, and software development. Your responsibilities will include validating pricing models for derivatives and designing and continuously improving risk models for market, credit, and liquidity risks.

Your daily tasks will encompass three key areas:

• Advanced Financial Modeling: You will cultivate a critical mindset and challenge stochastic models through close interaction with traders and pricing model designers.
• Technical Development: You will implement and test models and their alternatives within a robust C# and Python codebase, integrated into a Big Data environment (AWS, Dataiku).
• Cross-Functional Collaboration: You will work closely with Risk, IT, and Front Office teams to transform complex problems into practical solutions, whether through ad hoc pricing tools, back-testing prototypes, or automated model monitoring systems.

Additionally, you will ensure the long-term robustness of models by calibrating reserves under historical probability, implementing performance metrics, and regularly reviewing model parameters. This role combines scientific rigor with technical creativity and places you at the heart of the risk management team, focusing on energy commodity markets.

Key responsibilities

• Perform model validation of pricing models for complex derivatives (e.g., exotic basket options, swing options, storage, renewables, …).
• Implement validated stochastic models in C# within the risk methodologies pricing library.
• Build and test alternative models to benchmark and assess the robustness of valuation methods.
• Participate in internal model committees by providing theoretical and numerical justifications.
• Design risk metrics for market risks (VaR, SVaR, quantitative stress tests), implement prototypes and present method specifications for future IS integration.
• Design risk metrics for credit risks (PFE, CVA, DVA), implement prototypes and present method specifications for future IS integration.
• Ensure full documentation of models and methods for traceability, auditability, and regulatory compliance.

PROFILE

You hold a Master’s degree or PhD in a quantitative discipline such as Financial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or a related field. Your academic background has equipped you with a solid foundation in modeling, analytics, and problem-solving. Beyond your studies, you bring at least four to five years of hands‑on experience as a quantitative analyst, during which you’ve developed, implemented, and challenged pricing and risk models in real‑world financial environments. You are now looking to take on a new challenge where your expertise can make a real impact — bridging cutting‑edge theory with practical, high‑stakes applications in trading and risk management.

Hard Skills

• Solid knowledge of stochastic models applied to derivative pricing and risk modeling.
• Strong background in statistics: hypothesis testing, time series analysis, regression models.
• Proficient in object‑oriented programming (C#, Python), with the ability to independently develop models and prototypes.
• Familiarity with Big Data technologies, particularly Amazon Web Services (AWS) or Dataiku, is a plus.
• Previous experience in Commodity Markets is a strong advantage.

Soft Skills

• Strong analytical skills, conceptual thinking, and scientific rigor.
• Ability to communicate complex concepts clearly and effectively to both technical and non‑technical stakeholders.
• Team spirit and ability to work collaboratively in a fast‑paced and multidisciplinary environment.

LANGUAGES

• Fluent in English and French

Why join us?

Diversity & Inclusion

At ENGIE S&EM, we are committed to fostering a gender-neutral and inclusive environment where everyone’s potential can thrive.

All our positions are open to people with disabilities. If you need any reasonable accommodation during the recruitment process, please inform your recruiter — we will be happy to support you.

About ENGIE

ENGIE is a global leader in low‑carbon energy and services, committed to accelerating the transition toward a carbon‑neutral world. Our purpose‑“raison d’être” is clear: act to reduce energy consumption and develop cleaner, more sustainable solutions that balance economic performance with a positive impact on people and the planet … The 17 ……... .. {…...}