Power Scheduler Sr. develops and maintains daily, weekly and monthly schedules for power generation, storage, and wheeling. Monitors and coordinates generation and interchange according to contracts and pooling arrangements. Being a Power Scheduler Sr. schedules all power purchases and sales with other utilities. Maintains logs documenting all relevant operating information, problems and issues. Additionally, Power Scheduler Sr. requires a bachelor's degree. Typically reports to a supervisor or manager. The Power Scheduler Sr. work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. To be a Power Scheduler Sr. typically requires 4 -7 years of related experience. (Copyright 2024 Salary.com)
Equilibrium was founded with a vision for building a company where innovation, collaboration, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for staff / sr staff quantitative analysts with a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading business, while helping to shape the science-driven products, tools, & processes that will drive the future success of our company.
As a key member of our sciences group, you will play an active role in a) cultivating our culture of experimentation, signal discovery, and incremental delivery, b) facilitating research into profitable strategy development and energy market dynamics, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and d) partnering with our engineers, product managers, scientist, and commercial team to influence the near to medium term product roadmap.
Use research insights to shape product direction: Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction. Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel quantitative analytics or machine learning techniques can drive outsized company trading impact.
Trading performance analytics: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.
Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests. Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions. Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading.
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