Asset Management Analyst - Investments

Northern Trust • Chicago, IL

1d • $52,800 - $79,200

About The Position

The Asset Management Analyst - Investments role focuses on investment research and implementation, providing quantitative analysis to support investment selection, trade execution, portfolio construction, product development, and asset allocation decisions. The analyst contributes to and assesses opportunities to improve trading, research, and portfolio management processes. The role frequently uses coding to integrate data sets for financial and statistical modeling and to evaluate and attribute investment outcomes against targets and peers. Working with guidance from senior team members, the analyst also independently applies data analysis and modeling skills to generate theoretical outputs that may be used in production processes. Success requires understanding financial markets, macroeconomics, risk metrics, and investment objectives at the product and client levels, together with ongoing learning about the company, its clients, and technical applications.

The position is located in Chicago, Illinois. Program opportunities include mentorship, a monthly speaker series, learning and development sessions, career development opportunities, comprehensive orientation, social events, access to an alumni network, and exposure to senior leadership. The stated salary range is $52,800–$79,200 USD. Applicants must be authorized to work in the United States without current or future employment-based visa sponsorship.

Requirements

• Pursuing a bachelor's degree in mathematics, statistics, computer science, computer engineering, finance, accounting, or economics at an accredited college or university.
• Expected graduation between December 2026 and Summer 2027 is preferred.
• Minimum GPA of 3.0.
• Prior experience in a related capacity or experience obtained through rigorous academic coursework.
• Proven analytical, quantitative, and problem-solving skills demonstrated through coursework, projects, and/or previous internship experience.
• Demonstrated use and application of coding languages for data analysis, including back-testing.
• Demonstrated use and application of artificial intelligence toolsets for data analysis, visualization, and written output.
• Experience using financial or statistical models.
• Strong verbal and written communication skills.
• Demonstrated leadership and teamwork through projects and/or extracurricular involvement.
• Understanding of financial markets, macroeconomics, risk metrics, and investment objectives at the product and client level.
• Authorization to work in the United States without employment-based visa sponsorship now or in the future.

Nice To Haves

• A GPA of 3.5 or above is preferred.
• Expected graduation between December 2026 and Summer 2027 is preferred.

Responsibilities

• Contribute to trading, research, and/or portfolio management processes.
• Conduct quantitative empirical research.
• Perform back testing and risk assessment.
• Participate in team meetings and present findings.
• Collaborate with project teams and provide investment data to support fact-based decisions.
• Use coding to integrate data sets for financial and statistical modeling.
• Evaluate and attribute investment outcomes against targets and peers.
• Generate theoretical outputs from data analysis and modeling that may be used in production processes.
• Assess opportunities to improve trading, research, and portfolio management processes.

Benefits

• Retirement benefits, including a 401(k) and pension.
• Medical, dental, vision, spending accounts, and disability benefits.
• Paid time off.
• Parental and caregiver leave.
• Life and accident insurance.
• Other voluntary and well-being benefits.
• Discretionary bonus program that may include an equity component.
• Mentorship, learning and development sessions, career development opportunities, comprehensive orientation, social events, access to an alumni network, and exposure to senior leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern