
10,000+ employees
Founded 1994
🛡️ Insurance
💼 Consulting
🏦 Banking
Insurance • Consulting • Banking
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.
🕒 June 25
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10,000+ employees
Founded 1994
🛡️ Insurance
💼 Consulting
🏦 Banking
Insurance • Consulting • Banking
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 and evangelize on best practices of capturing and retaining data • Create and leverage models, inferential statistics and prescriptive analysis to proactively solve business problems answering the questions “What will happen and what should we do about it?” • Often responsible for large, complex problems that have broad implications and are less frequent • Recommend solutions based on understanding of the context, connections, and conclusions • Reviews deliverables; proactively coaches others on approach and work product • Coordinate with data stewards and anticipate needs process/procedures • Make continuous improvements to data procedures, including data efficiency • Recommend best analysis method for the situation
• Master’s degree (or its equivalent) 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 (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 6 years of relevant experience • Understanding of best practices for capturing / retaining data • Pros / Cons of competing analysis methods • Experience leading by partnering with others to anticipate and understand needs process/procedures • Leading information practices / policies / procedures • Setting standards and expectations for data analysis tools and techniques; ensuring compliance with application • Promoting increased efficiency of data analysis by advocating clearer data requirements • Advanced Microsoft Office Suite • SQL/NoSQL Relationship data structure • Selecting and retrieving data including unstructured data retrieval, archival, and ETL Databases • Advanced Python/R/SAS • Efficient coding • Ability to build strong code controls and translate code into high-level commentary • Understanding of and ability to leverage cloud-based computing and distributed computing.
• Please click here for a list of benefits for which this position is eligible.
Apply Now🕒 June 25
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