Position Overview
At 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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].
Job Profile
- Under supervision, performs quantitative analysis to support decision-making using tools such as Python, R, and SQL. Comfortable in working with big data utilizing SQL and Apache Spark.
- Works with various lines of business both within and external to the fraud space to determine new opportunities for innovation as it relates to machine learning modeling, process improvement, risk management, fraud detection, and fraud categorization.
- Holds regular meetings with innovation stakeholders and collaborators to present experimental results, process improvements, new methodologies, model ideas, model feature enhancements, and other innovation topics.
- Performs quantitative analysis to develop reports, perform qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design, data quality and integrity, and model architecture. Analyzes complex data and associated quantitative analysis.
- Develops features and enhancements for both new and existing models.
- Develops proof-of-concept models internally with other team members to evaluate new modeling methodologies.
Job Description
- Provides support to the business and other internal IT organizations regarding data definition standards, architectures, and policies.
- Provides support to business users for mining and interpretation of warehoused and operational data.
- Plans and performs activities regarding designed data models for systems development.
- Resolves metadata and data sourcing problems. Maintains metadata and data dictionaries.
- Manages data definitions and data traceability within data repository to improve documentation and coordination.
Competencies
- Analytical Thinking – Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business.
- Core Application Systems – Knowledge of major production application systems used for delivery of services to internal and external clients; ability to leverage said applications for use in diverse situations.
- Data Administration – Knowledge of and the ability to manage an organization's architectures, data resources, polices, practices and procedures to appropriately and effectively address business and stakeholder's needs.
- Database Structures – Knowledge of and the ability to utilize appropriate database structures to organize and store data in a particular manner.
- Data Warehousing – Knowledge of how to collect data from different information sources and distribute them to users; ability to use this information to simplify information systems and make sound business decisions.
- Effective Communications – Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
- Information Assurance – Knowledge of and the ability to protect information and information systems while ensuring their confidentiality, integrity and availability.
- Logical Data Modeling – Knowledge of and the ability to identify, create and document activities, tasks, processes and data requirements for a particular system under design.
- Query and Database Access Tools – Knowledge of and the ability to use, support and access facilities for extracting and formatting a database management system.
- Requirements Analysis – Knowledge of methods and techniques to elicit, analyze and record required business functionality and non-functionality requirements; ability to analyze these requirements to ensure the success of a system or software development project.
Work Experience
- Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Education
Bachelors
Additional Job Description
- PNC offers employees 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; maternity and parental leave; paid holidays, vacation days and occasional absence time; 401(k), pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption assistance; educational assistance and a robust wellness program with financial incentives. To learn more about these and other programs, including benefits for part-time employees, visit pncbenefits.com > New to PNC.
Disability Accommodations Statement
If an accommodation is required to participate in the application process, please contact us via email at [email protected]. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Equal Employment Opportunity (EEO)
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
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