Sr. Data Science Manager - Financial Crimes

Location:4910 Tiedeman Road, Brooklyn OhioABOUT THE JOB (JOB BRIEF)Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the Deputy Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the team meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Senior Data Science Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message.ESSENTIAL JOB FUNCTIONSOversee a small quantitative team (2-4 direct reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFACResearch, compile and evaluate large sets of data to assess quality and determine suitability for model buildingDevelop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performanceEmploy innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positivesProactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholdersEffectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impactProvide strategic consultation and thought leadership to senior / executive level business partnersREQUIRED QUALIFICATIONSMaster’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analyticsDemonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/Artificial Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in Generative AI (GenAI).Hands-on work experience with statistical coding in SAS and/or PythonKnowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computingIn-depth understanding of financial crime regulatory requirements, technology, and data analysis best practicesDemonstrated direct management experienceExcellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting; translate technical observations to a non-technical audienceA credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impactRemote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred.DATA LITERACYAbility to:Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategyLead discussions about pros/cons of applications with senior leadershipMonitor industry trends and direction of data analysis technologiesTECHNOLOGY & TECHNIQUESAdvanced Microsoft Office SuiteSQL/NoSQLRelationship data structureSelecting and retrieving data including unstructured data retrieval, archival, and ETLDatabasesAdvanced Python/R/SAS:DatabasesEfficient codingCan build strong code controls and translate code into high-level commentaryUnderstanding of and ability to leverage:Cloud-based computingDistributed computingMODEL BUILDING & MAINTENANCEAbility to:Establish standards and best practices; forecast future modeling tools / techniquesIdentify, employ, and evangelize emerging techniques from industry / researchCoach others on data modeling methods / techniquesFacilitate sessions for complex data modelsAssess and understand risks; contingency plansCommunicate observations to senior executivesTranslate technical observations to a non-technical audienceCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 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: 04/19/2026 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

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