Quantitative Analyst
Vor 5 Tagen
Pangea is seeking a highly skilled Quantitative Analyst to join its team in Geneva, Switzerland.
The ideal candidate will have strong experience in model validation, quantitative modelling, or risk analytics within energy/commodity markets.
This role focuses on validating, implementing, and enhancing commodity pricing and front office models to ensure their robustness and effectiveness for trading and risk management purposes.
Key Responsibilities
- Model Validation & Implementation:
- Validate and implement commodity pricing and risk models, ensuring accuracy and alignment with market conditions.
- Develop and enhance methodologies for pricing complex energy derivatives and structured products.
- Work with front-office and risk teams to ensure models are fit for purpose.
- Volatility Tools & Risk Analytics:
- Develop and improve volatility modelling tools for commodities.
- Enhance model calibration techniques and assess their impact on risk measures.
- Work with traders and risk teams to refine and stress-test market volatility assumptions.
- Model Governance & Documentation:
- Ensure models adhere to regulatory and internal governance requirements.
- Maintain thorough documentation of model development, validation processes, and assumptions.
- Present findings to senior management and model risk committees.
- Support & Collaboration:
- Assist model users in understanding and applying models effectively.
- Provide quantitative expertise to trading, risk, and IT teams on model-related issues.
- Work on continuous model performance monitoring and improvements.
Requirements
- Advanced degree (MSc/PhD) in Mathematics, Quantitative Finance, Physics, or a related field.
- Strong experience in model validation, quantitative modelling, or risk analytics within energy/commodity markets.
- Proficiency in stochastic calculus, numerical methods, and derivatives pricing.
- Solid programming skills in Python, C++, or similar languages for model implementation.
- Experience with Monte Carlo methods, PDE solvers, and statistical modelling.
- Knowledge of energy trading and commodity market structures.
- Strong communication skills to interact with traders, risk teams, and senior stakeholders.
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