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Quantitative Risk Modeling Specialist
Il y a 2 mois
ENGIE Global Energy Management & Sales (GEMS) is a leading provider of energy supply solutions and risk management services. Our mission is to support our clients in their decarbonization journey while optimizing ENGIE's assets and contributing to value creation.
Job SummaryWe are seeking a highly skilled Quantitative Risk Analyst to join our team. As a Quantitative Risk Analyst, you will be responsible for developing and implementing financial models and risk management strategies to support our business operations.
Key Responsibilities- Develop and maintain financial models and risk management strategies to support business operations
- Collaborate with traders and pricing model designers to understand derivatives and stochastic pricing models
- Challenge theoretical model design and measuring model risk
- Develop validated stochastic models in C# and alternative stochastic models
- Work with the risk team and trading team to understand problems and propose solutions
- Develop and test models in Python and work with the IT team for risk engine implementation
- Design, implement, and automate pricing model quality metrics in a big data environment
- Master's or PhD degree in Financial Engineering, Applied Mathematics, Statistics, Physics, Engineering, or Computer Sciences
- Confirmed experience of at least 3 years as a quantitative analyst in pricing and risk modeling
- Knowledge of stochastic models applied to derivative pricing and risk modeling
- Good object-oriented programming skills in C# and Python
- Knowledge of Amazon web service or other big data environment
At ENGIE, we offer a dynamic and collaborative work environment, competitive compensation and benefits, and opportunities for professional growth and development.
We are an equal opportunities employer and welcome applications from diverse candidates. If you meet the requirements, please submit your updated CV for consideration.
