Quantitative Analyst - ET

Job Summary

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.

Key Accountabilities

• 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.

Minimum Education & Experience Requirements

• A Bachelors 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.

Other Qualifications

Preferred:

• A Masters 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.

Other Requirements:

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

Physical Demands & Working Conditions

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 perform the integral functions of this job, the employee is required to:

• Occasionally stand or walk and stoop or kneel.
• Frequently sit.
• Talk or hear, both in person and by telephone; use wrists, hands and/or fingers in a repetitive motion; and reach with hands and arms extensively.
• Occasionally lift objects of up to 10 pounds in weight.
• Use computers with exposure to video display terminals; and some repetitive motion associated with data entry, the use of a computer mouse, and while using other office equipment.
• Possess the following vision requirements: close, color, depth perception and the ability to adjust focus.
• Perform job duties primarily in a work from home capacity and periodically from a climate-controlled office environment, with a moderate noise level.