Quantitative Scientist (Staff / Sr Staff) - Power Markets

Equilibrium Energy

About The Position

Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world’s most critical industry operates. We’re building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you’ll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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.

Benefits

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

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