Business Analyst Summer 2026 Intern - Campus Hire

Who We Are 

At 2OS, we’re more than just a niche consulting firm—we’re a close-knit team of skillful data scientists and business analyst experts passionate about solving complex problems in the credit and risk space. From innovative fintechs to top national banks all over the world, we partner with clients to deliver data-driven solutions that create real impact. Our mission is straightforward: help our clients win—while enjoying the journey. 

What You’ll Do 

As a Business Analyst Intern at 2OS, you won’t be observing from the sidelines—you’ll be actively contributing to projects that solve complex credit and risk challenges. Over the course of the summer, you’ll collaborate with major financial institutions and high growth fintechs to address key business questions such as: 

Who should be eligible for a credit line increase? 

How can we enhance collections strategies to improve performance? 

What changes to credit policy would lead to smarter, more effective lending decisions? 

You’ll work closely with clients to define objectives, analyze data, and deliver clear, actionable recommendations. From building data-driven models in Python to developing polished presentations in PowerPoint and Excel, you’ll gain hands-on consulting experience in a dynamic, collaborative environment. 

This internship offers the opportunity to apply analytical thinking and business strategy to real-world problems—working alongside a team that’s passionate about using data to drive meaningful outcomes. 

For more information on 2OS, please visit our website at www.2os.com. 

Salary: 2OS will pay you an annual salary of $100,000.00, paid semi-monthly and subject to deductions for taxes and other withholdings as required by law, for the duration of the ten-week internship. 

Basic Qualifications 

If the following sounds like you, we want to hear from you: 

Planning to graduate in Fall 2026 or Spring/Summer 2027. 

Working toward an undergrad or graduate degree in a quant-heavy field like math, engineering, economics, or similar.

Have experience in analytical roles or projects—you know how to break down tough problems using data.

You’ve got solid business intuition and can spot where the real value is hiding in a challenge.

A strong communicator and team player—you collaborate well and can explain complex ideas clearly.

Comfortable with Python, SQL, R, or other coding tools—we’ll use Python and Excel regularly. 

Preferred Qualifications (Bonus Points) 

If you’ve had exposure to credit risk or financial services, that’s a nice plus—but not required.