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2027 Analytics and Quantitative Modeling Rotational Analyst Program- Cleveland

KeyBank · Cleveland, OH · 2 mo ago
Hybrid$75k/yrFull-time

About the Program

KeyBank’s Enterprise Analyst Program is a multi-week training program designed to facilitate the transition from college to a full-time career at Key. The program offers:

  • Learning about Key’s business and strategic pillars
  • Information on Key’s industry-leading employee benefits
  • Networking events with Analysts across various teams
  • Engagement with members of the Executive Leadership Team
  • Relevant training ahead of starting a full-time role

After the training, Analysts will join their Line of Business to begin working with their respective teams, either in a rotational program or a full-time role. Continued development is supported through mentorship opportunities across various organizational levels.

Analytics & Quantitative Modeling Overview

Analytics & Quantitative Modeling at KeyBank is a cross-functional collective focused on using data, analytics, and quantitative models to impact business performance. The goal is to identify solutions that lead to:

  • More effective risk management
  • More profitable business decisions
  • More meaningful client and employee engagements
  • More proactive management of credit relationships

About the Rotational Analyst Program

The Analytics & Quantitative Modeling Rotational Analyst Program is designed to develop analytical and quantitative professionals through training, work experiences, and cross-functional exposure. The program starts in July 2027 and is based in Cleveland, Ohio. Rotations begin after foundational training and last 12 months, with each rotation being 6 months long. Upon completion, analysts who meet performance expectations will be placed into full-time roles in Analytics & Quantitative Modeling, based on availability.

This position requires onsite presence in Cleveland for the entirety of the program.

Rotation Areas

  • Quantitative Modeling and Advanced Analytics (QMAA):

    Ownership and development of predictive models for risk management, capital, and business insights. Supports decisions across the credit relationship lifecycle, from prospecting to portfolio management.

  • Model Risk:

    Assessment of predictive models across the enterprise to ensure suitability, performance, and reliability for business use.

  • Market Risk:

    Quantification of risk and pricing for trading activities, including fixed income securities and derivatives used for hedging interest rates, commodity prices, and foreign exchange rates.

  • Client & Employee Experience:

    Application of analytics, visualization, and storytelling to enhance client experiences using data from surveys or vendors.

  • Commercial Analytics:

    Evolution of payment solutions to meet business demands, including streamlining receivables, payables, and liquidity management.

  • Fraud Analytics:

    Enterprise detection and prevention of fraud using modeling, machine learning, and network analysis to protect clients and the institution.

  • Credit Portfolio Management:

    Combination of external macroeconomic, industry, and geopolitical research with internal portfolio analytics to identify and mitigate emerging risks.

Responsibilities

  • Perform data analysis, research, and draw business and financial insights with integrity and accuracy.
  • Effectively and concisely communicate findings and recommendations for senior management, including data visualizations and insights.
  • Solve problems using analytical and mathematical techniques across 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.

Requirements

  • Must obtain a four-year degree or graduate-level degree by May 2027 or December 2026 with focused coursework in mathematics, statistics, engineering, finance, economics, computer science, business analytics, data science, or other quantitative fields.
  • Prior internship experience within the field is preferred.
  • Outstanding academic achievement (minimum 3.5 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.
  • Basic understanding of AI concepts and exposure to AI/ML tools or techniques (e.g., data analysis or simple models).

Preferred Skills

  • Exposure to programming for data analysis, statistical modeling, machine learning, and data visualization (e.g., SQL, SAS, Python, R, Tableau).

Pay

This position offers a salary of $75,000 for students pursuing undergraduate degrees and $85,000 for students pursuing graduate degrees. Compensation also includes a $5,000 Summer Sign-on Bonus.

KeyBank’s Internship and Analyst positions are not eligible for employment visa sponsorship (e.g., H-1B visa). This includes situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years to maintain employment eligibility.

Benefits

This position is eligible for a comprehensive list of benefits. Click here for more details.

Key has implemented an approach to employee workspaces that prioritizes in-office presence while providing flexible options where roles can be performed effectively in a mobile environment.

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