SESCO
Quantitative Researcher
Pittsburgh +1 · Full-time · Posted Sep 12, 2026
- Location
- Pittsburgh
Pittsburgh, Pennsylvania, United States - Education
- PhD in a technical discipline (e.g., Computer Science, Mathematics, Statistics, Physics, Economics, Engineering) or equivalent professional experience with progressive responsibilities.
About the job
Develops and maintains quantitative forecasting systems and statistical or simulation-based models for U.S. power markets, including scenario analysis and probabilistic outcomes.
What you'll do
- Solve quantitative and technical problems with a collaborative research team.
- Develop forecasting models using software development, mathematical, and optimization techniques.
- Build and maintain systems integrating structured and semi-structured data for scenario analysis and probabilistic outcomes.
What they ask for
- PhD in a technical discipline or equivalent professional experience with progressive responsibilities.
- Strong foundation in linear algebra, probability, and statistics.
- Expertise in Python and related ecosystem; competency in standard software engineering practices.
- Ability to design and implement mathematical models, handle large and complex heterogeneous datasets, and turn research into actionable insights.
Nice to have
- Working knowledge of machine learning techniques.
- Understanding of origination, trading exposure, and financial implications; familiarity with power markets.
Tools
Python, NumPy, Pandas, Numba, SciPy, Streamlit
Model-written summary · the original posting is authoritative