About the role
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.
We are looking for a Sr Power Trader with prior Day Ahead and FTR trading experience to join SESCO. You will work in a collaborative, cross-functional environment where personal outcomes are directly tied to the economics of trading decisions. The ideal candidate will have experience understanding power flow simulation outcomes and strong probabilistic decision-making skills to identify investment opportunities.
Role Responsibilities
As a Sr Power Trader, you will:
- Develop and deploy trading solutions and strategies to trade nodal congestion utilizing predictive information from powerflow simulations and scenario analyses.
- Assess risk profiles of trades and portfolios in a fundamental and systematic manner.
- Evaluate expected returns and make investment and capital allocation decisions based on probabilistic understanding of expected outcomes.
- Maintain thorough understanding of market structure and regulations while taking a research-based approach to market assessment and trading decisions.
- Develop quantitative approaches to portfolio management, risk management and expected value forecasting while working with a cross-functional team of traders, meteorologists and quantitative researchers.
Our Approach
At SESCO we embrace a hacker mindset to develop elegant, efficient, and impactful solutions to real-world challenges in electricity 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 degree in engineering or technical field (math, physics, economics). Advanced degree preferred.
- Minimum 2 years of trading experience with proven track record and demonstrated PNL history working for a power marketer or asset owner.
- Deep fundamental understanding of power flow simulation and electricity market structure and operations.
- Strong foundation in probability and statistics, with working knowledge of machine learning techniques preferred.
- Experience integrating quantitative analysis and techniques into fundamental trading strategies to optimize portfolio construction and outcomes.
- Experience managing and understanding risk empirically and assessing risk profiles for unprecedented events and tail outcomes.
- Demonstrated success in transforming research into actionable insights and analysis.
- Proficiency in Python and related ecosystem (e.g., NumPy, Pandas, Numba, SciPy, Streamlit).