Model Risk – Quantitative Analytics Manager

🕒 May 28

🏈 Ohio – Remote

🏈 Ohio – Remote

💵 $116k - $216k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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KeyBank

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Leading the validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. • 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?” • Recommend solutions based on understanding of the context, connections, and conclusions. • Reviews deliverables; proactively coaches others on approach and work product • Lead and evangelize on best practices of capturing and retaining data • Make continuous improvements to data procedures, including data efficiency

🎯 Requirements

• Master’s degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience; • 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 • Advanced Microsoft Office Suite • SQL/NoSQL • Advanced Python/R/SAS: Databases • Understanding of best practices for capturing / retaining data • Demonstrated ability to engage and partner at mid to senior leadership levels.

🏖️ Benefits

• Incentive compensation which may include production, commission, and/or discretionary incentives