PNC Data Scientist Lead-Model Owner - Enterprise Fraud SQL Python R Hadoop 

United States, Alabama, Birmingham 

268752385

• Oversees the development, testing, and validation of quantitative models (machine learning and statistical) used for detecting and deterring fraud. Conducts robust and comprehensive model testing, model monitoring, defect resolution, and analysis in accordance with model development lifecycle standards.
• Conducts ongoing communication and support for model users, including downstream model owners, and others who use the models for purposes of anti-money laundering, fraud detection and deterrence, and other uses.
• Directs complex qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Confirms the reviews of complex reports including model documentation, model monitoring, QC findings, and model controls.
• Leads in evaluating identified model risks, defects, and issues, and reaches conclusions on strengths and limitations of the model. Works toward resolution and enhancement related to model shortcomings.
• Conducts ongoing communication with oversight, validation, risk management, internal audit, external audit, and regulatory compliance partners. This communication includes written responses to questions, formalized documentation of findings, and presentations to appropriate committees, working groups and other parties.
• Provides leadership, direction, and oversight to model developers who support the ongoing maintenance, management, and validation of the models.
• Provides coaching, training, direction, and best practices to the modeling team.
• Can manage the work-sets of multiple model developers in remote locations, including offshore.
• Solves business problems using a structured, analytically rigorous approach, and synthesize results for presentation to less technical audiences (model users and senior management)
• Proficiency with R or Python, and Hadoop, is required.
• Proficiency in SQL is required.
• Proficiency with Trillium and/or Tableau is desirable but not required.
• Knowledge of data management is desired but not required.
Job Description

• Directs and consults on 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. Provides deep technical expertise to advance the data science capabilities of analytics teams.
• Serves as a representative of PNC; understands the needs and challenges PNC is facing and provides thought leadership around data science activities both internally and externally.
• Supervises the implementation of advanced analytics projects, and as an expert in the field, helps other data scientists present the analytical processes and outcomes to management.
• Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.

Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. 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.No Required Certification(s)No Required License(s)PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility*: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

California Residents

Refer to the