Statkraft is expanding its activities to the US power and renewables markets, specifically PJM & ERCOT, and needs to source and manage a long-term portfolio of third-party renewable energy contracts. The role of Quantitative Analyst is to help develop a quantitative and fundamental view of these markets, formulate and analyze new trading strategies, and provide analytical support for scaling up the portfolio of non-standard power contracts.
Requirements
- 3+ years of experience within a quantitative focused role.
- Advanced coding skills, advanced Python knowledge is a must.
- Highly analytical, data driven individual with advanced statistical & machine learning skills.
Responsibilities
- Help develop both a quantitative and fundamental view of the US power markets and related commodity markets.
- Formulate and analyse new trading strategies, including hedging and optimisation strategies.
- Provide analytical support with the scaling up of our portfolio of non-standard power contracts in the US markets, working effectively to value products and optimize the value of the portfolio.
- Operate and drive the improvement of quantitative models and tools, used for our trading, hedging and optimisation activities.
- Contribute to the team’s systematic usage of available datasets and integration of new data sources.
- Conduct advanced quantitative analysis to derive insights from large and complex datasets, using statistical techniques, mathematical models, and machine learning algorithms.
- Collaborate with team members with regards to maintaining and expanding a robust code base and quality documentation.
Other
- Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
- Proactively engage yourself in discussions to exchange knowledge and ideas with fellow analysts, traders, portfolio managers, originators, internal and external developers.
- Be excited about the intersection of technology, business, and the renewable energy markets.
- Experience collaborating and building relationships with cross-functional stakeholders, influencing business decisions with data.
- Inquisitiveness and a desire for continued self-improvement and development of new skills.
- Ability to manage multiple tasks and thrive in a fast-paced team environment.
- Strong attention to detail and ability to work independently, take initiative and be proactive in ambiguous situations.
- Strong written and verbal communication skills.
- Interest in energy markets, renewable energy, algorithms, and data science
- The applicant must be eligible for security clearance and authorisation
