Quantitative Analyst

Overview

DTE is one of the nation’s largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century. And as Michigan’s largest source of renewable energy, we’re creating a cleaner, healthier environment to power our future. We’re also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.

But we’re more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you’ll be part of a team that welcomes, recognizes, and celebrates differences, and values everyone’s health, safety, and wellbeing.

Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.

The pay range for this position is $90,000.00 - $.

Location:

Detroit, MI

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.

• 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.

• 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.

Preferred:

• 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, Tensor Flow, 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.

Other Requirements:

Good written and verbal communication skills and ability to prioritize job requirements in a multi-task, fast-paced environment.

The physical demands characterized here epitomize those that must be met by an employee to properly perform the integral functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. In order to properly…