Data Scientist, Power Markets Transmission Trading (Congestion Trading)
6555 Sierra Drive Irving, TX 75039 US
Job Description
Responsibilities:
- Develop and implement statistical models and machine learning algorithms to forecast transmission system behavior and optimize trading transmission congestion trading decisions.
- Analyze large datasets to identify trends and patterns, and use this information to develop trading strategies that maximize profit and minimize risk.
- Collaborate with transmission engineers and traders to understand the underlying physical and economic factors that impact transmission system behavior and inform trading decisions.
- Develop data visualization tools to communicate insights to senior management, traders, and analysts.
- Monitor developments in energy markets, transmission technologies, and data science techniques to ensure the team remains at the forefront of transmission trading.
Educational and Professional Qualifications:
Overall, the role of a data scientist in transmission trading is a challenging and dynamic position that requires a deep understanding of both data science and the energy industry. Candidates with a strong background in data science, statistics, and machine learning, combined with an interest in the power markets, are well-suited for this role.
- A bachelor’s degree (advanced degree a plus) in computer science, engineering, mathematics, or a related field, focusing on data science, statistics, or machine learning.
- Prior professional experience at a utility, IPP, power consulting, power market research, and/or power trading firm.
- Knowledge of transmission systems and power markets is required.
- Expert knowledge of the market rules of one or more power markets / ISO regions (PJM, NYISO, ISO-NE, CaISO, WECC, ERCOT, or SPP).
- Experience working with large datasets in the power and ISO markets.
- Experience with financial transmission rights FTRs, congestion revenue rights CRRs, transmission congestion contracts TCCs, and transmission congestion rights TCRs is a plus.
- Strong coding skills in Python, R, or another programming language commonly used in data science.
- Familiarity with statistical analysis, machine learning, and data visualization techniques.
- Excellent communication and collaboration skills, with the ability to work effectively in a trading team environment.