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<div class="ember-view organization-about-module__content-consistant-cards-description" id="ember300"><span class="lt-line-clamp__line">We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering</span>&nbsp;<span class="lt-line-clamp__line">a future with sustainable and abundant energy. We envision energy systems that are efficient,</span>&nbsp;<span class="lt-line-clamp__line lt-line-clamp__line--last">autonomous, resilient, and powered by 100% renewable energy.</span></div>
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Focus: Mitigation or Adaptation

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Driving reliable, transparent, and efficient systems for a 100% renewable energy future.

<h1>🎯 Why we exist</h1><p style="">We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re using machine learning and convex optimization methods to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.</p><p style="">We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.</p><p style=""></p><h1>🧗 Who we are</h1><p style="">Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience with complex systems, machine learning, and structured finance. Our world-class investors, <a href="https://www.maverickventures.com/">Maverick Ventures</a> and <a href="https://caffeinatedcapital.com/">Caffeinated Capital</a>, are aligned to our policy objectives and platform vision.</p><p style=""></p><h1>The Role</h1><p style="">Comity is looking for a Machine Learning Engineer to help develop our energy pricing models and facilitate their deployment in market-leading power contract origination strategies.</p><p style="">You’ll work closely with our Quantitative Researchers to design and deploy models and optimization algorithms for participating in wholesale power markets, and ensure that they can scale to new markets and greater volume. You will help develop our data infrastructure and research platform, which give our researchers streamlined access to relevant data sources and powerful computing resources, as well as the confidence that their research will translate into real-world results. As an early hire in this role, you will have broad impact and ownership over our platform and framework design, research agenda, technology choices, and team culture.</p><p style=""></p><h1>We’re excited about you because:</h1><ul style=""><li><p style="">You have 1-3 years experience developing production machine learning (or other predictive modeling) systems in an industry setting.</p></li><li><p style="">You have a BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a similar field. A MS or PhD is a plus. </p></li><li><p style="">You have a solid grasp of machine learning fundamentals and can read research results to understand operational requirements and assumptions.</p></li><li><p style="">You are experienced and comfortable with the workflow to research and develop machine learning models and data mining algorithms, working with distributed computing resources and structured, graph, spatial, and time series data.</p></li><li><p style="">You are a lifelong learner and empathetic teacher. We’re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results.</p></li><li><p style="">We believe strong foundations are more important than specific technical knowledge, but experience with any part of our data stack (Python, SQL, PyTorch, CatBoost) is a plus.</p></li></ul><p style=""></p><h1>Location</h1><p style="">We have hubs in Chicago, New York City, and San Francisco.</p><p style=""></p><p style=""><em>At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.</em></p>

Machine Learning Engineer

<h1>🎯 Why we exist</h1><p style="">We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.</p><p style="">We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.</p><h1><br><br>🧗 Who we are</h1><p style="">Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, <a href="https://www.maverickventures.com/">Maverick Ventures</a> and <a href="https://caffeinatedcapital.com/">Caffeinated Capital</a>, are aligned to our policy objectives and platform vision.</p><p style=""></p><h1>The Role</h1><p style="">Comity is looking for an <strong>Underwriting Lead</strong> to advance the execution of our platform vision. In this role, you will</p><ul style=""><li><p style="">underwrite energy market participants to infer default probability distributions for performance insurance products</p></li><li><p style="">design and implement a growth-ready underwriting operation tailored to energy market participants</p></li><li><p style="">drive the development of an AI-powered system to support the efficient scaling of our underwriting frameworks by partnering with our software engineering team</p></li></ul><p style="">As an early hire in this role, you’ll have broad impact over our path to scale.</p><p style=""></p><h1>We’re excited about you because</h1><ul style=""><li><p style="">You have 7-12 years as an underwriter with demonstrated expertise in counterparty credit risk and a proven track record of establishing efficient underwriting operations that leverage data analytics and software in fast-scaling environments. Knowledge of performance and/or trade credit products is considered a plus.</p></li><li><p style=""><strong>Thrive under ambiguity:</strong> You enjoy synthesizing a significant number of information threads to a well-structured and defended plan.</p></li><li><p style=""><strong>Relentless</strong>: You aren’t discouraged by obstacles or the challenges of moving from 0 to 1.</p></li><li><p style=""><strong>Highly analytical:</strong> You have a keen sense for how to break ambiguous problems into 'knowable' components, and you're adept at quickly navigating analytical question and answer pairs which obtain with one another. Proficiency with Python and one or more common analytical tools (SQL, Tableau, etc.) is preferred.</p></li><li><p style=""><strong>Detail oriented:</strong> You have comfort and facility with the last few percent of accuracy, ensuring work products have zero defect.</p></li><li><p style=""><strong>An excellent communicator:</strong> As well as solving problems, you can communicate your thinking to various stakeholder audiences who may have divergent points-of-view.</p></li><li><p style=""><strong>Eager to learn:</strong> You are eager to learn and grow; you enjoy the pain of a steep learning curve.</p></li></ul><p style=""></p><h1>Location</h1><p style="">We have hubs in Chicago, New York City, and San Francisco.</p><p style=""></p><p style=""><em>At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.</em></p>

Underwriting Lead

<h1>🎯 Why we exist</h1><p style="">We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.</p><p style="">We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.</p><p style=""></p><h1>🧗 Who we are</h1><p style="">Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, <a href="https://www.maverickventures.com/">Maverick Ventures</a> and <a href="https://caffeinatedcapital.com/">Caffeinated Capital</a>, are aligned to our policy objectives and platform vision.</p><p style=""></p><h1>The Role</h1><p style="">Comity is looking for a Quantitative Researcher (FTRs) to help us develop market-leading power contract origination strategies with transmission congestion products.</p><p style="">You’ll study, design, and deploy models and optimization algorithms for transacting Financial Transmission Right (FTR) contracts, and collaborate with other researchers to enhance our DA/RT virtuals research agenda across multiple Independent System Operators (ISOs). You’ll keep abreast of the latest research in quantitative finance and distributionally robust optimization, as well as help develop our data strategy and information systems by evaluating available data sources that can be integrated into our system to improve performance. As an early hire in this role, you will have broad impact and ownership over our algorithm design, research agenda, technology choices, and team culture.</p><p style=""></p><h1>We're excited about you because:</h1><ul style=""><li><p style="">You have 2+ years of experience applying quantitative methods to FTRs, PTP/UTC products, and/or congestion forecasting.</p></li><li><p style="">You have a strong working knowledge of one or more ISOs/RTOs, including prior hands-on experience in Day-Ahead and Real-Time virtual transactions.</p></li><li><p style="">You have an advanced degree in quantitative finance, computer science, statistics, machine learning, operations research, or a related quantitative field.</p></li><li><p style="">You have deep knowledge of applied math, probability, statistics and numerical algorithms, including knowledge of optimization techniques in contexts such as financial or electrical engineering, operations research, or economics.</p></li><li><p style="">You are adept at communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences.</p></li><li><p style="">You are a lifelong learner and empathetic teacher. We’re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results.</p></li><li><p style="">We believe strong foundations are more important than specific technical knowledge, but experience with any part of our data stack (Python, CVXPY, Snowflake) is a plus.</p></li></ul><h1>Location</h1><p style="">We have hubs in Chicago, New York City, and San Francisco. </p><p style=""></p><p style=""><em>At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.</em></p>

Comity

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Company Description

Jobs (3)

Machine Learning Engineer

Machine Learning Engineer

Underwriting Lead

Underwriting Lead

Quantitative Researcher (FTRs)

Quantitative Researcher (FTRs)

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Sectors

Drawdown Solutions

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