About Northern TrustAs a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions.
Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.
With more than 135 years of financial experience and over 24,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service.
Please note: Each applicant has the opportunity to apply to a maximum of 3 job postings per recruitment season in North America. Please do not create multiple email addresses to apply to additional opportunities. Posting Close Date: October 9, 2026, 11:59pm Central, unless the class is filled before that date. Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled. WHO YOU ARE - You are pursuing a bachelor's degree or master's degree in Data Science, Informatics, Statistics, Econometrics or related major with specialization in Analytics or Data Science at an accredited college/university with an expected graduation date between December 2027 and Summer 2028
- Must have experience or curriculum in programming languages such as Python or R, SQL, and or tools like Power BI or Tableau
- You have a minimum GPA of 3.0 or higher
- You have good verbal and written communication skills
- You are curious about financial markets and interested in learning more about the financial services industry
- You have proven analytical, data interpretation, problem-solving, critical and strategic thinking skills through coursework and/or previous internship experience
- You have demonstrated leadership and teamwork through projects and extracurricular
WHAT YOU'LL DO As an intern at Northern Trust, you will have the opportunity to build relevant skills, work on meaningful projects, and participate in a collaborative program designed to support your early career development. You will work directly with your team on day-to-day tasks while joining internship program events to develop new skills, network with senior leaders, and connect with fellow interns in the program. Through hands-on experience, meaningful project work, and exposure to a dynamic global business, you will begin to see how your interests can grow into a long-term career at Northern Trust. A recruiter will work with you to determine the best team placement given your interests, skill set, and relevant experience.
Technology interns are fully integrated into engineering and technology teams, contributing to real financial solutions. Interns gain an inside look into the innovative technologies, practices, and business solutions that power a frontrunner in financial services.
The Program: Program Opportunities: - Professional development workshops
- Lunch & Learns with Leadership
- Intern Cross-Functional Project Presentation
- Intern volunteer event
- Social events
- Ongoing learnings at enterprise-wide level Mentorship and networking opportunities
WHAT YOU'LL GAIN: - Gain hands-on experience transforming data into actionable insights while working alongside experienced data professionals, developing 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, while building a strong foundation in data architecture, governance, data quality, and scalable decision-making practices
Every internship in technology regardless of discipline is likely to involve:
- Some automation via coding, whether simple OS shell scripting, low code automations or other form
- The use or development of some generative AI capabilities
SAMPLE FUTURE CAREER PATHS/TRACKS:Technology Analyst in the Data Science and Analytics track as part of our Analyst Development Program (ADP).
Salary Range:
Salary is $35.00 USD per hour
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including 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, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.
Work AuthorizationApplicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).
Working with UsAs a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.
Philanthropy is deeply rooted in Northern Trust's history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.
Reasonable AccommodationNorthern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at , or alternatively you can discuss your individual requirements with the recruiter you are working with.
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