Quantitative Analyst - ET

DTE Energy • Detroit, MI

1d • $90,000 - $135,000 • Remote

About The Position

This position is part of the quantitative modeling team supporting power and gas trading activities across the Eastern and Central United States, and will work closely with senior analysts and traders to support data-driven forecasting, pricing, and risk management models.
This is a hands-on role that involves both data foundation work and analytical modeling. The position will help ensure data quality through preprocessing and cleaning while also supporting the development and maintenance of forecasting and analytical models that inform trading strategies. Work is performed under general supervision with results reviewed through the achievement of set goals and adherence to policies and procedures.

Requirements

• A Bachelor’s degree in Statistics, Mathematics, Engineering, Financial Engineering, Computer Science, Economics, or a related quantitative field.
• Solid programming skills in R, Python, SQL, or other analytical programming languages.
• Strong data wrangling skills and the ability to work with real-world datasets that may be inaccurate, incomplete or inconsistent.
• Familiarity with basic statistical concepts, regression, and time series analysis.
• Experience with data visualization and reporting.
• Comfortable working with Microsoft Office tools for communication and reporting purposes, especially Microsoft Excel and Powerpoint.
• Excellent problem-solving abilities, attention to detail, and willingness to take ownership of assigned tasks.
• Good written and verbal communication skills and ability to prioritize job requirements in a multi-task, fast-paced environment.

Nice To Haves

• A Master’s degree in Statistics, Mathematics, Engineering, Financial Engineering, Computer Science, Economics, or a related quantitative field.
• Experience with machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, caret).
• Familiarity with power or energy markets, or other commodity markets.
• Exposure to cloud computing, APIs, or SQL database administration is a plus.
• Experience with futures contracts.

Responsibilities

• Collect, clean, and preprocess large-scale datasets from multiple internal and external sources (e.g., weather, load, outage, pricing data).
• Develop and maintain automated data workflows and pipelines to support model training and back testing.
• Assist in implementing statistical and machine learning models for forecasting and scenario analysis.
• Perform exploratory data analysis (EDA) and generate clear visualizations and summary reports.
• Collaborate with quantitative analysts, traders, and IT to ensure data integrity and operational reliability.
• Support model documentation, version control, and reproducibility of analytical work.
• Performs all other related duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level