You’ll play a pivotal role in developing and maintaining quantitative models required to value the key risks associated with the supply and PPA business, as well as assessing and valuing the tools and mechanisms to manage these risks (hedging strategies, derivatives, physical tolls etc.).
You'll assess and value risk management tools such as hedging strategies, derivatives, and physical tolls, shaping the future of risk management. You’ll collaborate with the Portfolio Optimisation & Pricing team, delivering impactful modelling and analysis, while also providing expert guidance on best practices. This is an opportunity to make a significant impact on the business through innovative risk solutions.
What skills/experience do I need to be successful?
* Substantial experience of quantitative modelling in an energy trading environment, ideally with experience in short-term power markets;
* Proven track record of software development in a commercial environment;
* Substantial expertise in Python programming language plus third-party libraries including numpy, scipy, pandas and scikit-learn is essential;
* Good understanding of mathematical finance including stochastic calculus and probability theory, plus associated numerical methods for their practical implementation;
* Proven strong technical skills in manipulation, extraction and analysis of large data sets.
How will I spend my time in this role?
* Contribute to implementation and maintenance of models to price and manage risk associated with SELs PPA and I&C contracts, over the short, medium and long term, in particular shape cost and risk;
* Contribute to implementation and maintenance of models to price and optimise flexible assets (batteries, gas plants etc);
* Deliver quantitative analysis to support the development, implementation, and continual review of hedging strategies to manage volume and shape risk;
* Ad-hoc analysis for teams supporting Portfolio Optimisation & Pricing;
* Contribute to deployment and maintenance of models in a quantitative library, adhering to existing framework and coding standards;
* Ensure availability and regular calibration of operational models, which are used by the wider Portfolio Optimisation team.
What sets us apart?
* Global Impact: With offices in the UK, US, and Australia, and plans for further expansion, you'll be part of a dynamic, globally-minded team, with opportunities to explore new markets and make a difference on a global scale.
* Flexible Working: Embrace the freedom to work from anywhere in the world for up to 30 days a year. We prioritize work-life balance, recognizing that your well-being matters.
* Commitment to Diversity and Inclusion: We celebrate our diverse culture and value individuals irrespective of background, disability, religion, gender identity, sexuality, or ethnicity. Join a team where diversity is not just welcomed but celebrated as a key driver of growth and innovation.
What does hybrid working mean to us?
Hybrid working typically means 2 days in the office location listed on this advert and 3 days working at home each week. Some occasional travel to our other offices may be required.
What happens next?
Once we receive your application, it will be reviewed by a human – no bots here! The average process typically takes around 2-3 weeks, with 2 stages of video interviews using Teams. However, this can vary depending on the role. We may invite you for a face-to-face meeting or require only 1 video interview. If you have any questions or need support, our Recruitment Team is here to assist you.
Ready to join us on our journey to digitise, decarbonise, and localize the future of energy? Apply now.
We're committed to making the application process easy and comfortable. Let us know how we can help you with any reasonable adjustments that can be tailored to your needs.
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