
10,000+ employees
Founded 1994
🏦 Banking
💸 Finance
💳 Fintech
Banking • Finance • Fintech
KeyBank is a full-service bank offering a wide range of financial services for individuals, small businesses, and large institutions. Services include personal and business banking, wealth management, loans, credit lines, mortgages, credit cards, and investment services. KeyBank also provides online and mobile banking tools to help customers manage their finances efficiently. With a focus on financial wellness, KeyBank offers resources to help customers understand banking basics, manage debts, and achieve their financial goals.
🔥 19 hours ago
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10,000+ employees
Founded 1994
🏦 Banking
💸 Finance
💳 Fintech
Banking • Finance • Fintech
KeyBank is a full-service bank offering a wide range of financial services for individuals, small businesses, and large institutions. Services include personal and business banking, wealth management, loans, credit lines, mortgages, credit cards, and investment services. KeyBank also provides online and mobile banking tools to help customers manage their finances efficiently. With a focus on financial wellness, KeyBank offers resources to help customers understand banking basics, manage debts, and achieve their financial goals.
• Develop and validate predictive and machine-learning models for specific business needs • Use traditional statistical methods and machine learning to develop, monitor, maintain, and implement models for various business applications • Assess and challenge data preparation practices and engage with data stewards to ensure data quality • Identify and articulate observations based on structured assessments of analytical outcomes • Review deliverables and proactively coach others on approach and work product
• Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines • At least 2 years of relevant experience (1 year with Master’s or PhD) • Understanding of data structures / transformations • Ability to identify and capture different types of information for business needs or necessary for analysis • Proficiency in Advanced Microsoft Office Suite • Experience in traditional statistical methods and machine learning techniques • Intermediate Python/SQL skills including writing and reading functions • Understanding of cloud-based computing and distributed computing • Knowledge of advanced modeling techniques including machine learning methods (e.g., XGBoost, LightGBM, Random Forest)
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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