Quantitative Scientist (Staff / Sr Staff) - Power Markets
WFA Digital Insight
The demand for data-driven decision making in the energy sector is skyrocketing, with experts predicting a 25% increase in clean energy investments by 2025. As a result, skilled quantitative scientists are in high demand, particularly those who can bridge the gap between technology and industry expertise. Equilibrium Energy is at the forefront of this movement, developing cutting-edge AI solutions for the power sector. To succeed in this role, candidates will need a strong foundation in machine learning, data science, and trading strategy research, as well as excellent collaboration and communication skills. Before applying, candidates should be prepared to discuss their experience with Python, NumPy, and other computational science tools, as well as their passion for driving the energy transition.
Job Description
About the Role
Equilibrium Energy is seeking a highly skilled Quantitative Scientist to join their team, focusing on trading strategy research and development in the energy space. As a key member of the sciences group, you will play a crucial role in shaping the company's science-driven products, tools, and processes, driving the future success of the company and leading the energy transition. You will work closely with a tight-knit team of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation.The ideal candidate will have a strong passion for clean energy and fighting climate change, with a degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or a related quantitative discipline. You will have at least 2 years of experience in quantitative research and analytics or systematic financial trading, with a focus on the US Power Markets.
What You Will Do
- Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics
- Initiate and lead cross-functional engagements to surface, prioritize, and structure advanced novel quantitative analytics or machine learning techniques
- Investigate driving factors in trading over/under performance, identifying learnings and driving continuous strategy improvement
- Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain
- Drive the design, specification, development, and production deployment of a suite of novel quantitative trading solutions
- Lead short to medium-term research projects that advance the state-of-the-art in quantitative research techniques
- Collaborate with clients, engineers, product managers, and scientists to influence the near to medium-term product roadmap
- Cultivate a culture of experimentation, signal discovery, and incremental delivery within the sciences group
- Facilitate research into profitable strategy development and energy market dynamics
What We Are Looking For
- A degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or a related quantitative discipline
- At least 2 years of experience in quantitative research and analytics or systematic financial trading, with a focus on the US Power Markets
- Experience with Python and the supporting computational science tool suite (e.g., NumPy, SciPy, Pandas, scikit-learn)
- Strong understanding of machine learning and data science concepts, including supervised and unsupervised learning techniques
- Excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams
- Passion for clean energy and fighting climate change
- Experience with trading strategy research and development in the energy space
Nice to Have
- Experience with cloud-based data platforms and distributed computing frameworks
- Knowledge of energy market dynamics and trading strategies
- Familiarity with Agile development methodologies and version control systems
- Experience with data visualization tools and techniques
Benefits and Perks
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Flexible PTO policy and remote work arrangements
- Professional development opportunities, including conference sponsorships and training programs
- Access to cutting-edge technology and tools, including cloud-based data platforms and distributed computing frameworks
- Collaborative and dynamic work environment with a team of brilliant, curious, and adventurous people
How to Stand Out
- Be prepared to discuss your experience with Python and the supporting computational science tool suite, including NumPy, SciPy, and Pandas.
- Show a strong understanding of machine learning and data science concepts, including supervised and unsupervised learning techniques.
- Highlight your passion for clean energy and fighting climate change, and explain how your skills and experience align with Equilibrium Energy's mission.
- Be ready to walk through your experience with trading strategy research and development in the energy space, including any relevant projects or accomplishments.
- Familiarize yourself with Equilibrium Energy's technology stack and be prepared to discuss your experience with similar tools and platforms.
- Consider including a portfolio or examples of your work, such as research papers or code repositories, to demonstrate your skills and expertise.
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