KeyBank is seeking to solve business and risk management challenges through data, analytics, and quantitative modeling to enhance decision-making, risk management, and client and employee experiences.
Requirements
- Knowledge of statistical techniques, machine learning approaches, and/or data mining concepts
- Preferred exposure to programming for data analysis, statistical modeling, machine learning, and data visualization (SQL, SAS, Python, R, Tableau, and others as appropriate)
- Must obtain a four-year degree or graduate level degree by May 2026 or December 2025 with focused coursework in mathematics, statistics, engineering, finance, economics, computer science, business analytics, data science, or other quantitative fields of study.
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.
Other
- Must obtain a four-year degree or graduate level degree by May 2026 or December 2025
- Outstanding academic achievement (minimum 3.3 GPA)
- Demonstrated leadership and teamwork from past work experience and/or extracurricular activities
- Strong analytical, problem solving, communication, and presentation skills
- Prior internship experience preferred within the field
