
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.
🔥 0 minutes ago
🏈 Ohio – Remote
💵 $116k - $216k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📉 Data Analyst
🦅 H1B Visa Sponsor
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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.
• Lead the development and validation of predictive and machine-learning models for business needs • Create and leverage models, inferential statistics, and prescriptive analysis • Recommend solutions based on understanding of the context, connections, and conclusions • Reviews deliverables; proactively coaches others on approach and work product • Make continuous improvements to data procedures, including data efficiency
• Master’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; or Bachelor’s degree in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience • 10 or more years developing scorecard models in the financial services industry in credit risk management or fraud • Understanding of best practices for capturing/retaining data • Advanced Microsoft Office Suite • SQL/NoSQL Relationship data structure • Advanced Python/R/SAS
• Health insurance • 401(k) matching • Flexible work arrangements • Professional development opportunities • Remote work options
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