Equilibrium Energy
Quantitative Scientist (Staff / Sr Staff) - Power Markets
San Francisco, NYC, Boulder or Remote US · Staff+
Sponsorship not specifiedDetected 188 days ago
PythonSQLMachine LearningTensorFlowscikit-learnPandasNumPyData ScienceData VisualizationA/B TestingProduct ManagementSystems EngineeringPower ElectronicsResearchCommunicationCollaborationMentoring
About the role
- 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.
- We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.
Responsibilities
- 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.
- Experience developing, releasing, and tracking performance of quantitative trading strategies in production
- Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty
- 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.
- 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.
Requirements
- The minimum qualifications you'll need
- 2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)
- 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)
Nice to have
- Nice to have additional skills
Compensation
- All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role.
Benefits
- Employee benefits include:
- 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
- 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.
- An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline
Company info
- We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future.
- We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact.
- 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.
Equal opportunity
- equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
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