Commodity Pricing and Front Office Models Validator
Vor 2 Tagen
We are seeking a seasoned Quantitative Analyst to lead our efforts in model validation and risk management within the energy trading segment.
The ideal candidate will possess a deep understanding of commodity pricing and front office models, as well as strong analytical and problem-solving skills.
Key Accountabilities
- Model Validation & Governance:
- Develop and implement comprehensive model validation procedures to ensure accuracy and compliance with regulatory requirements.
- Collaborate with front-office and risk teams to maintain model quality and effectiveness.
- Volatility Modelling & Risk Assessment:
- Design and deploy volatility modelling tools for commodities, leveraging advanced statistical techniques.
- Conduct in-depth analysis to identify areas for improvement in model calibration techniques and assess their impact on risk measures.
- Communication & Collaboration:
- Present key findings and recommendations to senior management and model risk committees.
- Foster collaborative relationships with trading, risk, and IT teams to address model-related challenges.
- Expertise & Guidance:
- Provide expert guidance to model users on model application, interpretation, and best practices.
- Cultivate a culture of excellence by sharing knowledge and expertise with colleagues.
Requirements
- Advanced degree (MSc/PhD) in Mathematics, Quantitative Finance, Physics, or a related field.
- Substantial experience in model validation, quantitative modelling, or risk analytics within energy/commodity markets.
- Deep understanding of stochastic calculus, numerical methods, and derivatives pricing.
- Superior programming skills in Python, C++, or similar languages for model implementation.
- Extensive experience with Monte Carlo methods, PDE solvers, and statistical modelling.
- Unparalleled knowledge of energy trading and commodity market structures.
- Outstanding communication and interpersonal skills.
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