SESCO Enterprises, LLC is a proprietary commodities trading firm specializing in U.S. electricity markets. We leverage deep market insights and advanced quantitative analysis to drive results and contribute to the efficiency and reliability of the power grid.
Software Engineer
We are looking for a Software Engineer to join the Software group at SESCO in support of the development of our proprietary trading and energy management systems. You will join a team that is responsible for the effective creation, implementation, configuration, and maintenance of systems (software and environments) related to quantitative analysis and forecasting in the US Power Markets.
Role Responsibilities
As a Software Engineer, you will:
• Work to solve implement complex technical solutions in collaboration with a team of skilled software engineers.
• Work in an iterative and highly dynamic environment that encourages collaboration and continuous improvement.
• Develop software to implement solutions involving mathematical and optimization techniques used in forecasting and investment decisions.
• Create and maintain systems that can support large heterogenous datasets across a broad range of sources.
• Develop libraries and APIs for other technical colleagues (e.g. quants, traders) with an emphasis on correctness, design, usability, and performance.
• Work with researchers to implement research studies, analytics, and production models for commodities trading
Our Approach
At SESCO we embrace a hacker mindset to develop elegant, efficient, and impactful solutions to real-world challenges in energy markets.
• Problem-Solving: We thrive on solving tough problems with creativity and rigor.
• Collaboration: We value a highly collaborative environment that blends diverse expertise.
• Innovation: Electricity markets demand innovative solutions to account for incomplete information and complex dynamics.
Qualifications
• Bachelor's, Master's, or Doctorate Degree in Computer Science or equivalent professional experience with progressive responsibilities.
• Proven track-record of designing and implementing full-stack applications with a quantitative audience.
• Expertise in Python and related ecosystem (PyData, flask, etc).
• Experience with multi-database environments. Experience in Clickhouse, Postgres, S3, etc. preferred.
• General mathematical competency (working knowledge of fundamentals in probability, statistics, linear algebra, calculus).
• Experience in modern front-end development or desktop GUI development is preferred.
• Familiarity with DevOps, Infrastructure & Deployment, and AWS preferred.
