QuantitativeAnalyticsManager-ModelRisk

**Location:** 127 Public Square, Cleveland Ohio The Quantitative Analytics Manager is primarily responsible for leading the validation of predictive and machine-learning models for specific business needs using statistics, advanced mathematical techniques, and/or computer science. The Quantitative Analytics Manager leverages advanced mathematical knowledge, analysis, partnerships, and business knowledge to provide solutions to predictive and prescriptive questions such as “What will happen next?” and “What will we do?”. Projects undertaken are often broad in scope across multiple business segments and involve guiding a team and/or project through providing solutions to business problems leveraging statistics, best practices or emerging techniques, and quantitative tools / techniques. Success factors include: Demonstrating leadership through strong communication skills, addressing conflict, coaching others on developing technical skills; managing competing priorities and presenting holistic, thoughtful analyses to answer partners’ problem statements; prioritizing multiple projects and managing to tight deadlines; establishing reputation as an effective and collaborative partner; Communicating technical theories, observations, and models to a non-technical audience; Leveraging knowledge of strategy, business, and competition to connect day-to-day work of team to the “bigger picture” and driving efficiency in solution delivery **ESSENTIAL JOB FUNCTIONS** * Independently assess and validate models, inferential methodologies, and analytical frameworks to evaluate their appropriateness, robustness, and effectiveness in addressing business needs and ensuring reliable answers to “What will happen and how confident are we in the results”, including CECL, Stress Testing, and Consumer/Commercial Credit Risk models * Often responsible for large, complex problems that have broad implications and are less frequent * Identify and articulate observations based on a structured asses