About The Position

Summer 2026 Analytics & Quantitative Modeling Internship What does our Internship Program offer? Key’s Enterprise Internship is a 10.5-week in-person program that provides meaningful work that matters, offers feedback and coaching, and creates engaging events and conversations that will spark excitement and interest in bringing one’s full-time career to Key. Interns are involved in a host of line of business specific projects that directly impact and benefit Key’s business and strategic pillars. The program includes networking with Key teammates across all levels of the organization, a series of Learning Labs where internal and external speakers provide insight on Key’s competitive landscape, financial wellness, and professional development best practices, and an assigned mentor who shares knowledge, experience, and advice Analytics & Quantitative Modeling Overview: Analytics & Quantitative Modeling at KeyBank is a cross-functional collective of program areas with the shared goal to use data, analytics, and quantitative models to meaningfully impact business performance by identifying solutions which lead to more effective risk management, more profitable business decisions, more meaningful client and employee engagements, and more proactive management of credit relationships. About the Analytics & Quantitative Modeling Internship Program KeyBank’s Analytics & Quantitative Modeling Internship Program is designed to develop analytical and quantitative professionals through training, work experiences, and cross-functional exposure. The Intern Program takes place in the Summer of 2024 and is based at one of our area locations in Cleveland, Ohio. Interns are assigned to a specific placement area within Analytics & Quantitative Modeling and typically remain in that department for the duration of their internship.

Requirements

  • Must have completed at least three years toward a four-year, undergraduate degree program with coursework in mathematics, statistics, engineering, finance, economics, computer science, business analytics, data science, or other quantitative fields of study, with an anticipated graduation in or before May 2027
  • Outstanding academic achievement (minimum undergraduate 3.3 GPA)
  • Demonstrated leadership and teamwork from past work experience and/or extracurricular activities
  • Strong analytical, problem solving, communication, and presentation skills
  • Knowledge of statistical techniques, machine learning approaches, and/or data mining concepts

Nice To Haves

  • Preferred exposure to programming for data analysis, statistical modeling, machine learning, and data visualization (SQL, SAS, Python, R, Tableau, and others as appropriate)

Responsibilities

  • Ability to perform data analysis, research, and draw business and financial insights through analysis with integrity and accuracy
  • Effectively and concisely communicate findings and recommendations for senior management, including effective data visualizations and insights.
  • Aptitude for problem solving using analytical and mathematical techniques across a broad spectrum of business and risk management areas
  • Conduct and leverage market and industry research for peer analytics and strategy.
  • Develop and support reporting functions for financial, regulatory, and business intelligence requirements.
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