Location: 4900 Tiedeman Road - Brooklyn, Ohio 44144-2302 ABOUT THE JOB (JOB BRIEF) The Senior Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs at an advanced level. The Senior Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis 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 model building / maintenance and "connecting the dots" between analyses, conclusions, partner needs, and/or strategy. Success factors include: designing advanced modeling approaches and developing / modifying existing models to meet changing business needs or in response to trends and strategy; exercising functional knowledge in analytical programming languages, data literacy, and model development to deliver predictive analysis to inform business problems; leading conversation with partners, delivering the right message and translating complex theories and ideas into easy-to-understand language; and serving as an emerging leader and role model across team. ESSENTIAL JOB FUNCTIONS Use critical thinking to develop insights and deliver predictive analysis that answers business problems related to "what will happen next?" Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and algorithms / models Identify and anticipate business need; obtain the right information Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact Navigate model approval process as needed Make process improvement suggestions Be an emerging leader across the team: Serve as a role model to others; provide input to work product of junior staff; Help others to develop, publish, and customize models Identify and employ best practices REQUIRED QUALIFICATIONS Master's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 3 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 5 years of relevant experience DATA LITERACY Working knowledge of: Different types of data and techniques for managing these data structures Ability to: Assist / guide others in information retention, coordination with data stewards, and anticipation of process/procedure needs Link conclusions based on data analysis to business impacts Define processes for integrating and repurposing data analyses TECHNOLOGY & TECHNIQUES 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: Databases Efficient coding Can build strong code controls and translate code into high-level commentary Understanding of and ability to leverage: Cloud-based computing Distributed computing MODEL BUILDING & MAINTENANCE Understands and can leverage: Optimization techniques and supporting numerical analysis requirements in algorithms / models Ability to: Interpret performance and reliability of assumptions; identify when to escalate Leverage and lead the design of advanced modeling approaches Develop / design standard techniques for data inference and performance perspectives Determine