SCS - Advanced Analytics Intern - 2027 at Federal Reserve System in Cleveland, OH

Job description

Company Federal Reserve Bank of Cleveland The Federal Reserve Bank of Cleveland is part of the nation’s central bank. We’ve provided many opportunities for professional growth during our history. For twenty-seven years in a row, we’ve been named “One of Northeast Ohio’s Best Places to Work” by North Coast 99. This prestigious award honors organizations with outstanding employment practices, including compensation, benefits, training, recruitment, retention, community services, and employee communications. Our People Make the Difference! The Federal Reserve Bank of Cleveland is seeking innovative thinkers with vision to build the framework that will carry the Bank into the future. Follow us on LinkedIn, Twitter, Instagram, and our YouTube channel – Cleveland Fed To be considered for this role, candidates must be a U.S. citizen, permanent resident, or green card holder. The Advanced Analytics team within Supervision and Regulation is a team of data scientists that researches, develops, deploys, and maintains models and tools that monitor risk across the Fourth District and nationwide to promote a safe and sound financial system. Intern Duties : Assisting with building and testing predictive models using econometric, machine learning, and data mining techniques. Preparing preliminary data visualizations and contributing to analytical findings using a variety of methods to promote understanding of key insights and actionable takeaways. Assisting with analytic projects through various stages of development, such as formulating concepts; developing and executing analysis plans; implementing and deploying models and tools; and reporting and presenting final research results. Engaging with subject matter experts in supervision and related fields to assist with emerging technology/artificial intelligence-related projects. Participating in weekly team standups and project increment (PI) planning. Engaging in leadership and career development activities for your future. Requirements for Internships: Currently pursuing an undergraduate or graduate degree in Finance, Economics, Data Science or a related field with a minimum GPA of 3.0. Should have at least one semester left to complete in school. Strong technical skills required—specifically, experience working with large data sets and experience with statistical programming (Python and/or R). Interest and experience with version control (e.g., git) and data processing tools (e.g., SQL, Spark, etc.) is a plus. Basic knowledge and desire to learn about banking and financial markets and their regulation. Ability to work both in a group setting and on an individual basis. Ability and interest to perform independent research with direction. Strong oral and written communication skills. Ability to work in a deadline driven environment. Our interns will work onsite at our Cleveland, Ohio location. We’re looking for collaborative and innovative full-time students entering their sophomore year or beyond. Our student interns work 40 hours per week for the duration of a 10- to 12-week internship that starts as early as June and ends as late as September, depending on student schedules and business needs. The expected starting salary range for this position is between ​$20.50 and $26.00 hourly. Final salary and offer will be determined by the applicant’s background, experience, skills, internal equity, and market data To be considered for this position please enter your application by October 31st, 2026 What We Offer : Hands-On Experience : Gain practical experience and insights into R&D and operational aspects of data science through real-world projects and challenges. Mentorship : Receive guidance and mentorship from experienced professionals who are committed to your development. Networking Opportunities : Build connections within the industry and with fellow interns and employees. Professional Development : Participate in workshops, training sessions, and seminars designed to enhance your skills