Quantitative Researcher - Power Markets Forecasting

SESCO Enterprises, LLC.; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 180,000; Full time

Job summary

SESCO Enterprises, LLC is seeking a Quantitative Researcher to join our research group focused on US power markets. You will develop, implement, and maintain systems for quantitative analysis and forecasting in energy markets.

You will combine software development with mathematical and optimization techniques to build models, work with large datasets, and deliver robust, actionable insights in a collaborative, innovation‑driven environment.

Qualifications

• PhD or equivalent experience in a technical field (CS, Math, Stats, Physics, Economics, Engineering).
• Strong foundation in linear algebra, probability, statistics.
• Working knowledge of machine learning techniques preferred.
• Expertise in Python and related ecosystem (NumPy, Pandas, Numba, SciPy, Streamlit).
• Competency in standard software engineering practices.
• Ability to design and implement mathematical models over large datasets.

Responsibilities

• Solve complex quantitative problems in collaboration with a team of researchers.
• Work in an iterative, highly collaborative environment.
• Develop statistical and simulation models for forecasting.
• Create and maintain data-integrating systems for scenario analysis and probabilistic outcomes.

Skills

Linear algebra

Probability

Statistics

Machine learning

Python

NumPy

Pandas

Software engineering

Mathematical modeling

Data handling

Education

PhD in technical discipline or equivalent experience

Tools

NumPy

Pandas

Numba

SciPy

Streamlit

Job description

SESCO Enterprises, LLC is seeking a Quantitative Researcher to join our research group focused on US power markets. You will develop, implement, and maintain systems for quantitative analysis and forecasting in energy markets.

You will combine software development with mathematical and optimization techniques to build models, work with large datasets, and deliver robust, actionable insights in a collaborative, innovation‑driven environment.