A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
(JOB BRIEF) Under manager's supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.
ESSENTIAL JOB FUNCTIONS
Under manager's oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in
AML/BSA/OFAC
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Document model development process and outcomes properly and support model validation and review Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
REQUIRED QUALIFICATIONS
Master's or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing Knowledge of financial crime regulatory requirements, technology, and data analysis best practices Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date:
08/09/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. 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 HR_Compliance@keybank.com. #LI-Hybrid
