Data scientist senior - fraud product and strategy

Job DescriptionPosition OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist Senior - Fraud Model Developer within PNC's Fraud Product and Strategy organization, you will be based in Pittsburgh, PA; Cleveland, OH; Birmingham, AL.RequirementsHands-on experience working with fraud models, including vendor models.Knowledge of data science and model development tools such as R or Python.Experience reading, writing, and editing model documentation and outcomes analysis.Knowledge of model governance best practices.Experience working with fraud management systems and associated data.Ability to work in a fast-paced environment with a focus on security.EducationBachelor’s degree in data science, computer science, mathematics, or related field is required.Master’s degree in relevant field is a plus.Job DescriptionLeads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.Directs the data gathering, data processing and data mining of large and complex datasets.Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.QualificationsSuccessful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.Competencies : Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools.Work Experience : Roles at this level typically require a university/college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.Education : Masters.Certifications : No Required Certification(s).Licenses : No Required License(s).

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