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Power Quantitative Trading Strategist
7887 E Belleview Ave, Suite 400, Greenwood Village, CO 80111 US
Job Description
A global energy trading firm seeks an experienced Quantitative Trading Strategist to join its Denver (CO) team. The team trades in the nodal and ICE/OTC power markets. Power trading is data-driven and mathematically based, systematically analyzing power market fundamentals using sophisticated software. The primary purpose of this position is to undertake nodal market simulation and systematic congestion analysis to develop trading strategies and decisions.
Key responsibilities include:
- Research and modeling electricity markets including analysis of generation supply, load demand, grid congestion, price patterns for daily energy trading, and assessing longer-term trends.
- Develop cutting-edge quantitative models to identify trade signals in the power markets data using statistical analysis (machine learning, regression, and time series techniques) and optimization skills.
- Quantify market dynamics and trading opportunities.
- Develop models and systems for portfolio construction and to measure trading risks.
- Contribute to improving trading systems and processes.
- Communicate complex/technical ideas.
Educational and Professional Requirements:
- Bachelor’s, master’s, or PhD (advanced degree preferred) in a quantitative field (Engineering, Financial Engineering, Mathematics, Physics, Statistics, etc.).
- Minimum 2+ years of trading/market analytics or front-office quantitative research/modeling experience in a power or natural gas trading environment focusing on big data and trading signal generation.
- Experience with one or more power markets / ISO, including CaISO, ERCOT, MISO, PJM, NEISO, NYISO, SPP, and WECC.
- Strong quantitative skills, statistical analysis, and data modeling skills.
- Technical programming skills in C#, Python, or R.
- Excellent problem-solving abilities and attention to detail, with the ability to thrive in a fast-paced and dynamic trading environment.
- Effective communication and interpersonal skills.
Consideration will be given to professionals with natural gas quantitative experience and quantitative systematic modeling experience outside of energy.