Location: For Those Who Work At Home - Various, Ohio 44145 ABOUT THE JOB (JOB BRIEF) The credit modeling process is critically important to KeyCorp's capital planning and loss mitigation processes, as it impacts the credit loss provision and hence the financial reporting of the bank. The Risk Modeling and Analytics group within KeyCorp is looking for a Senior Data Scientist to develop consumer credit loss forecasting models. The primary responsibility will be to apply advanced statistical modeling and computer science techniques to develop, validate, modify and test predictive credit models for specific business needs at an advanced level. This role requires a deep understanding of statistical modeling techniques, underlying consumer loans and how they are impacted by both loan attributes as well as economic and financial environments. As part of the role, there will be a need for strong engagement with internal partners and taking lead on numerous initiatives. Finally, results and other analyses will be shared with various business executives in order to gain insights into the portfolio and share foresights and conclusions from the analysis and modeling process. ESSENTIAL JOB FUNCTIONS Develop, design, and/or leverage advanced modeling approaches, standard techniques for data inference and performance, and sophisticated statistical models Perform complex data discovery utilizing AI and machine learning on large scale data lakes such as daily transaction data Partner with business to provide meaningful insights and solutions for complex analytic needs Deliver the right message to partners using past trends to predict future behavior and linking conclusions based on analyses to business impact 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, data sciences, or other quantitative disciplines and at least 3 years of relevant experience; or Bachelor's degree (or its equivalent) and at least 5 years of relevant experience Knowledge of the Consumer (Auto, Credit Cards, Student Loans, etc ), both risk drivers and predictors Deep knowledge of drivers and predictors of default as well as knowledge of the banking sector in general, including emerging trends Ability to understand and use statistical models in Python, R, SAS etc. Track record of excellent time management and completion of complex projects Strong leadership qualities, including working with highly technical staff from academia and business Impeccable integrity, strong accountability, sound judgment, and strategic vision PREFERRED QUALIFICATIONS Familiarity with Cloud Analytics (e.g., Google Cloud Platform, Azure, AWS) Familiarity with Current Expected Credit Loss (CECL) financial accounting standards Familiarity with Comprehensive Capital Analysis and Review (CCAR) process and standards Familiarity with Tableau or other data visualizations platforms COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $65,625 to $144,375 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible. Please click here for a list of benefits for which this position is eligible. Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be mobile or home based, which means you may work either at a home office or in a Key facility to perform your job duties. KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing .