Quantative Risk Analyst
Vor 7 Tagen
About UsGlobally, energy markets are in transition to a net zero future and the entities within these markets are transforming their underlying business models to ensure that they stay relevant, sustainable and profitable.
As one of Australia's largest energy providers, we are proud of our purpose to lead and accelerate the clean energy transformation for all.Our ability to deliver on this Purpose is dependent on our people.
In Wholesale Risk we bring together deep technical expertise and industry insight to empower effective market and credit risk management and analytics.
Our mission is to support informed decision-making and meticulously oversee our risk exposures, ensuring robust strategies in a dynamic landscape.About the RoleAre you passionate about risk management in the dynamic energy market?
In this role, you'll play a pivotal part in quantitative risk analysis, crafting methodologies, and designing tools and models.
Dive into the heart of risk identification and measurement for energy market activities managed by our Trading & Transition Business Unit and beyond.Providing operational excellence through the monitoring and maintenance of risk metrics, as per the risk policies and regulations.Quantification of risks and opportunities in the wholesale energy markets by interrogating market data with a set of quantitative, statistical and data science techniques.Maintenance and upgrade of existing risk processes in order to improve their fitness to current market condition.Developing risk models in R and Python and communicating analysis of model results via Tableau reporting to Trading and Finance stakeholders.Provision of analytical, systems, process and documentation supporting risk team and broader business units in managing risks, while also providing appropriate controls for segregation of duties.How can you support the Clean Energy TransitionWe are looking for a tertiary qualification in a quantitative discipline such as finance, computer science, mathematics, or engineering with a minimum of 2+ years' experience preferably in the energy field or a relatable industry such as banking.Your role will involve applying advanced statistical modelling techniques and leveraging tools like R, Python, C++, Matlab, GIT, and SAS to drive insightful analysis.
Experience with cloud-computing environments and distributed computing frameworks is a plus.Strong interpersonal and communication skills are essential for collaborating effectively within our team.
If you have a commercial mindset, coupled with expertise in financial risk management tools and the development of risk metrics like Value at Risk and stress testing, we invite you to join us in shaping the future of energy markets.If you share our passion for a clean energy future for all and want to join us and are ready to make an impact in a fast-paced environment, we encourage you to apply.Why Us?We're committed to providing an inclusive culture so our people can bring their whole selves to work and have a sense of belonging.
From our PRISM network that creates a positive culture for LGBTI employees to our Reconciliation Action Plan that has commitments to strengthen relationships with Aboriginal and Torres Strait Islander people and organisations, it's a workplace where everyone's welcome.
We offer;Employee discount on your electricity and gas, discounts on major brands and productsAnnual Performance Bonus20 weeks' paid parental leave that's completely gender-equalEnergise Program - flexible working that is team-centric enabling all individuals to agree and succeed togetherExcellent company culture, down-to-earth and friendly organisation - be authentic, bring your whole self to work2 paid recharge daysState-of-the-art Melbourne office, stunning views only 3-4 minute walk from Southern Cross stationIn-house Café and Onsite Tech Bar#J-18808-Ljbffr
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