Quantitative Analytics Manager – Model Risk

🕒 Yesterday

🏈 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 and advanced mathematical techniques • Guiding a team and/or project through providing solutions to business problems leveraging statistics and quantitative tools/techniques • Assessing and validating models, methodologies, and analytical frameworks • Communicating technical theories and models to a non-technical audience • Evaluating the appropriateness of analytical methods used and assessing their justification

🎯 Requirements

• 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 • Data literacy with understanding of best practices for capturing/retaining data • Experience leading by partnering with others to anticipate and understand needs • Understanding of advanced modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest) • Proficient in Advanced Microsoft Office Suite, SQL/NoSQL, and relationship data structure • Proficient in Advanced Python/R/SAS

🏖️ Benefits

• Eligibility for incentive compensation which may include production, commission, and/or discretionary incentives