Quantitative Scientist (Staff / Sr Staff) - Power Markets

Use research insights to shape product direction and deliver innovative client solutions : Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction and drive positive impact at EQ's clients. Initiate and lead cross-functional engagements to surface, prioritize, and structure advanced novel quantitative analytics or machine learning techniques that can drive outsized impact on company trading strategies and client solutions. 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.

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 scientists with a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading & platform-as-a-service businesses. You'll help to shape the science-driven products, tools, & processes that will drive the future success of our company and lead the energy transition. 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 clients, engineers, product managers, and scientists to influence the near to medium term product roadmap. • Passion for clean energy and fighting climate change • An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline • 2+ years experience in quantitative research & analytics or systematic financial trading, or similar role, in the US Power Markets • 2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc) • Experience in the electricity and energy domain (e.g. wholesale market prices) • Experience developing, releasing, and tracking performance of quantitative trading strategies in production • Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences • A collaboration-first mentality, with a willingness to teach as well as learn from others • Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty • Experience with database technologies and sql • Experience with probability, hypothesis testing, and uncertainty quantification • Experience with optimization techniques (e.g. stochastic optimization, robust optimization) • Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit) • Experience leading and mentoring a team of analysts

Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment. • Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech