Investment Data, Analytics & Research Internship

About Our Company Northwestern Mutual has been helping families and businesses achieve financial security for nearly 160 years through a distinctive planning approach that integrates risk management with wealth accumulation and preservation. The company has the highest financial strength ratings awarded in the industry, managing a portfolio of over $270B in assets and distributing an unparalleled amount of dividends to its policy-owners annually. 

The Investment Data Analytics & Research (IDAR) Team: 

The IDAR team plays a fundamental role in ensuring that Northwestern Mutual stays financially sound, allowing the company to fulfill its promises to our policy-owners when they need us the most. The team achieves this by providing accurate, trusted data and analytic research to the Northwestern Mutual Managed Investment Business partners. The team provides decision support through understandable and maintainable reporting solutions. 

We have an exciting opportunity for a highly detailed, analytical and energetic undergraduate student to have an impact on the cross-asset investment reporting environment. There will be many opportunities to learn more about developing reporting solutions that tell a story management can rely on and use in the investment and risk management decision making process. 

Daily Tasks: 

• Assist in the creation and redesign of top-of-the-house, cross-asset investment reporting solutions 

• Work with end users to build highly flexible and functional dashboards 

• Perform ad hoc analysis and provide accurate and trusted data on the cross-asset investment portfolio 

• Participate in developing and implementing automated solutions to current manual processes. 

• Analyze data concepts, relationships, and structures to chip in to migration and validation of data in environments 

• Participate in various data governance processes 

Qualifications: 

• Pursuing a Bachelor’s degree in Computer Science, MIS, Mathematics, Statistics, Business or related field.

• Confirmed technical proficiency working with Excel spreadsheets and models. 

• Familiarity with SQL and basic knowledge of Python. 

• Strong analytical, problem solving and decision-making skills, proficiencies in finance and mathematics. 

• High degree of personal initiative, proven ability to work independently, excellent follow-through ability and sense of personal accountability. 

Strong written and oral communication skills, ability to deal effectively and professionally with people at all levels.