Technology Analyst – Data Science and Analytics

Northern Trust • Chicago, IL

2d • Onsite

About The Position

Northern Trust is a global leader in wealth management, asset servicing, asset management, and banking services. Since 1889, the company has been guided by its principles of Service, Expertise, and Integrity. With over 135 years of financial experience and more than 24,000 partners, Northern Trust serves sophisticated clients using leading technology and exceptional service. This role is part of a 27-month Analyst Development Program designed to provide comprehensive training and experience in Data Science and Analytics. The program involves rotations through three different technology teams, each lasting nine months, with the goal of completing in October 2029. The program is located in Chicago, IL.

Requirements

• Pursuing a bachelor’s or master’s degree in Computer Science, Information Systems, or related major at an accredited college/university with an expected graduation date of June 2027.
• Minimum GPA of 3.0 or higher.
• Good verbal and written communication skills.
• Highly motivated and tenacious.
• Proven analytical and problem-solving skills through coursework, projects, and/or previous internship experience.
• Experience learning programming languages and technology tools (examples include Java, Python, SQL, Azure DevOps, and Github).
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Responsibilities

• Rotate through 3 different Technology teams aligned to Data Science or Analytics (9 months each team).
• Contribute to meaningful projects, developing relevant skills to solidify the foundation for your career.
• Be fully integrated into engineering and technology teams, contributing to real financial solutions.
• Gain an inside look into the innovative technologies, practices, and business solutions that power a frontrunner in financial services.
• Gain hands-on experience transforming data into actionable insights while working alongside experienced data professionals.
• Develop skills in data engineering, analytics, statistical modeling, machine learning, and artificial intelligence.
• Contribute to real-world projects involving data pipelines, business intelligence dashboards, AI-driven solutions, and data-driven research using modern technologies.
• Build a strong foundation in data architecture, governance, data quality, and scalable decision-making practices.
• Involve some automation via coding, simple OS shell scripting, low code technology platforms, etc.
• Involve the use or development of some generative AI capabilities.

Benefits

• Retirement benefits (401k and pension)
• Health and welfare benefits (medical, dental, vision, spending accounts and disability)
• Paid time off
• Parental and caregiver leave
• Life & accident insurance
• Other voluntary and well-being benefits
• Discretionary bonus program that may include an equity component

What This Job Offers

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