Quantitative Scientist (Staff / Sr Staff) - Power Markets

Full-time
USA
Senior Level
Posted 1 hour ago
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<div class='content-intro'><h3>About our Company</h3> <p>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.</p> <p><span style='font-weight: 400;'>Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. </span><span style='font-weight: 400;'>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.</span><span style='font-weight: 400;'>&nbsp;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.</span></p></div><h3><strong>What we are looking for</strong></h3> <p><span style='font-weight: 400;'>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 </span><strong>staff / sr staff </strong><strong><em>quantitative scientists</em></strong><strong> </strong><span style='font-weight: 400;'>with a heavy focus on </span><strong>trading strategy research and development in the energy space</strong><span style='font-weight: 400;'> to accelerate the maturation of our quantitative trading &amp; platform-as-a-service businesses.&nbsp; You'll help to shape the science-driven products, tools, &amp; processes that will drive the future success of our company and lead the energy transition.&nbsp;</span></p> <p><span style='font-weight: 400;'>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.</span></p> <h3><strong>What you will do</strong></h3> <p><em><span style='font-weight: 400;'>Use research insights to shape product direction and deliver innovative client solutions</span></em><span style='font-weight: 400;'>: 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.</span></p> <p><em><span style='font-weight: 400;'>Trading performance analytics</span></em><span style='font-weight: 400;'>: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.</span></p> <p><em><span style='font-weight: 400;'>Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain</span></em><span style='font-weight: 400;'>: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques &amp; domain intuition, and executing hands-on experimental models &amp; 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.</span></p> <h3><strong>The minimum qualifications you’ll need</strong></h3> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Passion for clean energy and fighting climate change</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>2+ years experience in quantitative research &amp; analytics or systematic financial trading, or similar role, in the US Power Markets</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience in the electricity and energy domain (e.g. wholesale market prices)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience developing, releasing, and tracking performance of quantitative trading strategies in production</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>A collaboration-first mentality, with a willingness to teach as well as learn from others</span></li> </ul> <h3><strong>Nice to have additional skills</strong></h3> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with database technologies and sql</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with probability, hypothesis testing, and uncertainty quantification</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with optimization techniques (e.g. stochastic optimization, robust optimization)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit)</span></li> <li style='font-weight: 400;'>Experience leading and mentoring a team of analysts</li> </ul><div class='content-conclusion'><h3><strong>Not sure this is the right role for you?</strong></h3> <p><span style='font-weight: 400;'>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. 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.&nbsp;</span></p> <h3><strong>What we offer</strong></h3> <p><span style='font-weight: 400;'>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 &amp; 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 &amp; collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.&nbsp;</span></p> <p><span style='font-weight: 400;'>Employee benefits include:&nbsp;</span></p> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Competitive base salary and a comprehensive medical, dental, vision, and 401k package</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Opportunity to own a significant piece of the company via a meaningful equity grant</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Unlimited vacation and flexible work schedule</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech</span></li> </ul> <p><em><span style='font-weight: 400;'>Equilibrium Energy is a diverse and inclusive, 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.</span></em></p></div>

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Quantitative Scientist (Staff / Sr Staff) - Power Markets

<div class='content-intro'><h3>About our Company</h3> <p>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.</p> <p><span style='font-weight: 400;'>Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. </span><span style='font-weight: 400;'>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.</span><span style='font-weight: 400;'>&nbsp;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.</span></p></div><h3><strong>What we are looking for</strong></h3> <p><span style='font-weight: 400;'>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 </span><strong>staff / sr staff </strong><strong><em>quantitative scientists</em></strong><strong> </strong><span style='font-weight: 400;'>with a heavy focus on </span><strong>trading strategy research and development in the energy space</strong><span style='font-weight: 400;'> to accelerate the maturation of our quantitative trading &amp; platform-as-a-service businesses.&nbsp; You'll help to shape the science-driven products, tools, &amp; processes that will drive the future success of our company and lead the energy transition.&nbsp;</span></p> <p><span style='font-weight: 400;'>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.</span></p> <h3><strong>What you will do</strong></h3> <p><em><span style='font-weight: 400;'>Use research insights to shape product direction and deliver innovative client solutions</span></em><span style='font-weight: 400;'>: 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.</span></p> <p><em><span style='font-weight: 400;'>Trading performance analytics</span></em><span style='font-weight: 400;'>: Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education.</span></p> <p><em><span style='font-weight: 400;'>Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain</span></em><span style='font-weight: 400;'>: Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques &amp; domain intuition, and executing hands-on experimental models &amp; 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.</span></p> <h3><strong>The minimum qualifications you’ll need</strong></h3> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Passion for clean energy and fighting climate change</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>An degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>2+ years experience in quantitative research &amp; analytics or systematic financial trading, or similar role, in the US Power Markets</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>2+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience in the electricity and energy domain (e.g. wholesale market prices)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience developing, releasing, and tracking performance of quantitative trading strategies in production</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>A collaboration-first mentality, with a willingness to teach as well as learn from others</span></li> </ul> <h3><strong>Nice to have additional skills</strong></h3> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with database technologies and sql</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with probability, hypothesis testing, and uncertainty quantification</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with optimization techniques (e.g. stochastic optimization, robust optimization)</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit)</span></li> <li style='font-weight: 400;'>Experience leading and mentoring a team of analysts</li> </ul><div class='content-conclusion'><h3><strong>Not sure this is the right role for you?</strong></h3> <p><span style='font-weight: 400;'>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. 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.&nbsp;</span></p> <h3><strong>What we offer</strong></h3> <p><span style='font-weight: 400;'>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 &amp; 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 &amp; collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.&nbsp;</span></p> <p><span style='font-weight: 400;'>Employee benefits include:&nbsp;</span></p> <ul> <li style='font-weight: 400;'><span style='font-weight: 400;'>Competitive base salary and a comprehensive medical, dental, vision, and 401k package</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Opportunity to own a significant piece of the company via a meaningful equity grant</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Unlimited vacation and flexible work schedule</span></li> <li style='font-weight: 400;'><span style='font-weight: 400;'>Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech</span></li> </ul> <p><em><span style='font-weight: 400;'>Equilibrium Energy is a diverse and inclusive, 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.</span></em></p></div>