Quantitative Analytics Manager - Treasury

**Location:** 4900 Tiedeman Road, Brooklyn Ohio**ABOUT THE JOB (JOB BRIEF)** The Quantitative Analytics Manager or Senior Associate (level commensurate with experience) is primarily responsible for using advanced mathematical techniques to develop predictive time\-series models related to Pre\-Provision Net Revenue (PPNR) for Comprehensive Capital Analysis and Review (CCAR) stress testing and the corporate forecast, Interest\-Rate Risk (IRR) for Asset\-Liability Management (ALM) and Liquidity Risk. 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 by the Senior Quantitative Analytics Associate 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** * 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