Investment Risk Analytics Intern (Python + ML)

Northwestern Mutual; Milwaukee (WI); On-site; USD 22,000 - 41,000; Full time

Benefits offered by this job

Professional development workshops

Senior leadership Q&A

Networking events

Job summary

Northwestern Mutual Internship in Milwaukee,wi seeks a highly analytical student to work on recession forecasting with ML in Python. You'll collaborate with the Investment Risk Management team on data preprocessing, model development, and reporting.

Open to Master's/Ph.D. candidates in CS/DS/Engineering/Math/Economics and related fields; hands-on learning and exposure to real-world financial forecasting are offered with onsite work starting Oct 2026.

Qualifications

• Currently enrolled in a Master's/Ph.D. program in CS, Data Science, Engineering, Mathematics, Economics, or a related field.
• Strong Python programming and ML library experience (scikit-learn, LightGBM).
• Experience with data preprocessing, feature engineering, and forecasting models.
• Excellent communication and ability to work in a team.

Responsibilities

• Model development to revisit and enhance recession forecasting models.
• Data preprocessing, feature engineering, and exploratory data analysis to support model development.
• Write efficient Python code to implement and optimize ML models.
• Evaluate and validate model robustness and reliability.
• Create reports and dashboards using Power BI and other tools.

Skills

Python programming

Data analysis

Communication skills

Team collaboration

Education

Master's/Ph.D. program in CS/Data Science/Engineering/Math/Economics or related field

Tools

Power BI

SQL

scikit-learn

LightGBM

Job description

Northwestern Mutual Internship in Milwaukee,wi seeks a highly analytical student to work on recession forecasting with ML in Python. You'll collaborate with the Investment Risk Management team on data preprocessing, model development, and reporting.

Open to Master's/Ph.D. candidates in CS/DS/Engineering/Math/Economics and related fields; hands-on learning and exposure to real-world financial forecasting are offered with onsite work starting Oct 2026.