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PNC Data Scientist Lead-Model Owner - Enterprise Fraud - (SQL, Python, R, Hadoop) in United States

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 Data Scientist Lead within PNC's Enterprise Fraud organization, you will be based in Pittsburgh, Cleveland, or Birmingham.

• 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 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. 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.

Education

Masters

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Benefits

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.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncbenefits.com > New to PNC.

*For more information, please click on the following links:

Time Away from Work (https://www.pncbenefits.com/timeaway.html)

PNC Full-Time Benefits Summary

PNC Part-Time Benefits Summary (https://www.pncbenefits.com/ft-benefits-overview.html)

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com . 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.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

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.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice (https://content.pncmc.com/live/pnc/aboutus/HR/Onboarding/PNC_CCPA_Privacy_Disclosure_Employee.pdf) to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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