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Quantitative Analyst – ET
DTE EnergyQuantitative Analyst supporting power and gas trading activities at DTE Energy. Involves data processing and analytical modeling for forecasting and risk management.
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- This position is part of the quantitative modeling team supporting power and gas trading activities across the Eastern and Central United States.
- Work closely with senior analysts and traders to support data-driven forecasting, pricing, and risk management models.
- Help ensure data quality through preprocessing and cleaning.
- Support the development and maintenance of forecasting and analytical models that inform trading strategies.
- 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.
Requirements
What you’ll need- A bachelor’s degree in Statistics, Mathematics, Engineering, Financial Engineering, Computer Science, Economics, or a related quantitative field, required by the start date.
- 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.
- A Master’s degree in Statistics, Mathematics, Engineering, Financial Engineering, Computer Science, Economics, or a related quantitative field (preferred).
- Experience with machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow, caret).
- Familiarity with power or energy markets, or other commodity markets (preferred).
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
RPythonSQLdata wranglingstatistical modelsmachine learningdata visualizationexploratory data analysisregressiontime series analysis
Soft Skills
problem-solvingattention to detailownershipcollaboration