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Cleveland, Ohio - USD Full Time Posted: Thursday, 11 October 2018
Position Overview

As a Data Expert within PNC's Enterprise Data Management Model Data Support organization, you will be based in Cleveland, Ohio or Pittsburgh, PA.

The Data Expert candidate will partner with a diverse group of business and technology stakeholders to solve complex data related problems by participating in the definition of business and functional data requirements, evaluating alternatives and recommending solutions, facilitating solution design through implementation, testing/validation, and defining critical system controls and protocols. The ideal candidate will have strong SAS and SQL background preferably including programming, familiarity with financial services products and knowledge of data provisioning for test code implementations. Candidates with business analyst, model or data backgrounds are desirable.
Work closely with the model development teams and lending businesses to understand models currently in production and under development and provide subject matter expertise
Understand and present the impact of data changes to modelers and lines of businesses for review and approval
Data sourcing change execution and monitoring including issue identification, investigation, and resolution.
Support alignment to enterprise data strategies, migrating data sourcing to the Enterprise Data Management Platform and other new big data repositories.
Support the closure of audit, regulatory, and other control function findings.
Assist in other areas within the data and model implementation and execution field, as requested.

The following would be considered an asset:
Understanding of credit risk and other risk management practices.
Knowledge of Basel Capital Frameworks, CCAR and CECL.
A solid background in risk data management, econometrics, quantitative methodologies, applied statistical analysis, model building, analysis, and data selection
Excellent programming skills in Access, Excel, SQL, SAS, Python, R, or other languages and the ability to extract, aggregate and prepare data for additional analytics;
Knowledge and experience with ETL, Data warehouse, Hadoop, Teradata, Tableau

Job Profile

  • Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards. Develops strategies for data implementation, data acquisition, and archive recovery.
  • Helps advise business, applications and operations counterparts to ensure data integrity and availability.
  • Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
  • Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses. Resolves data integration and security issues for adherence to the organization's quality standards.
  • Researches customers needs, conducts awareness and promotional sessions for potential customers.
Core Competencies

Manages Risk - Working Experience
  • Assesses and effectively manages all of the risks associated with their business objectives and activities to ensure activities are in alignment with the bank's and unit's risk appetite and risk management framework.
Customer Focus - Extensive Experience
  • Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions.
Job Specific Competencies

Data Mining - Extensive Experience
  • Knowledge of tools, techniques and practices in data mining technologies used to acquire essential business information.
IT Standards, Procedures & Policies - Extensive Experience
  • Knowledge of and the ability to utilize a variety of administrative skill sets and technical knowledge to manage organizational IT policies, standards, and procedures.
Modeling: Data, Process, Events, Objects - Extensive Experience
  • Knowledge of and the ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.
Data Governance - Subject Matter Expertise
  • Knowledge of and the ability to develop and maintain an organization's data in order to meet business requirements.
Business Intelligence - Extensive Experience
  • Knowledge of and ability to utilize business processes and technologies for gathering, storing, analyzing, and providing access to data that helps the organization make better business decisions.
Root Cause Analysis (RCA) - Extensive Experience
  • Knowledge of and ability to use a structured approach to identify the cause of undesirable consequences in a manufacturing environment and the changes needed to prevent a recurrence.
Informatics/Information Sciences - Extensive Experience
  • Knowledge of and the ability to gather, communicate and store useful information within and across organizations in order to enhance employee knowledge and improve organizational performance.
Emerging Technologies - Extensive Experience
  • Knowledge of and ability to design, apply and evaluate new information technologies for business environments in order to improve work productivity and accuracy.
Application Design, Architecture - Working Experience
  • Knowledge of and ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design.
Data Architecture - Extensive Experience
  • Knowledge of and ability to design blueprints on how to integrate data resources for business processes and functional support.
Required Education and 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 and experience (including military service) may be considered.

EEO Statement

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

Cleveland, Ohio, United States of America
10/11/2018 10:21:05 AM

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