Portfolio Analytics

R

Job Profile
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 Portfolio Analytics & Strategy Specialist within PNC's Balance Sheet Analytics & Modeling organization, you will be based in Pittsburgh, PA, New York, NY, Philadelphia, PA, Wilmington, DE, or Tyson's Corner, VA. Responsibilities require time in the office or in the field on a regular basis.

Responsibilities

• Collaborate with department leads and stakeholders to understand their reporting and analytics needs, translating these into scalable and impactful solutions.
• Communicate analytical findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.
• Identify opportunities to improve analytics processes, including automation, data delivery, and advanced analytics capabilities.
• Ensure the integrity and quality of data used in analytics and reporting, establishing best practices for data governance and validation.
• Oversee the design, development, and optimization of reporting and dashboard tools using Python, Power BI, Tableau, and/or Looker to enable data-driven decision-making across teams.
• Drive the creation and refinement of data models in Hadoop, ensuring high-quality, scalable, and reusable datasets.
• Develop and enhance proprietary attribution algorithms and manage integrations with third-party attribution partners to provide accurate insights.
• Utilize Python and/or AWS Services for building, maintaining, and scaling advanced analytics models and algorithms.
• Stay updated on the latest tools, technologies, and methodologies to continuously enhance the team's capabilities.

Required Skills & Experience

• Attention to details, ability to create clear, crisp, and actionable insights, proven experience managing analytics teams and delivering actionable insights.
• Expertise in Python (required) for developing advanced analytics.
• Working knowledge in Machine learning and statistical modeling using Python/R
• Hands-on experience with Python/R, Hadoop, Tableau, Power BI, and Looker, designing complex data models and dashboards.
• Expertise in using pandas, NumPy, seaborn, matplotlib.
• Strong understanding of attribution modeling, including proprietary algorithm development and third-party attribution tools.
• Familiarity with machine learning, advanced analytics and statistical modeling using Python/R.
• Demonstrated ability to align analytics strategies with business goals and stakeholder needs.
• Exceptional project management, organizational, and communication skills.
• Strong problem-solving skills, with the ability to handle complex data challenges and find practical solutions.
• Proven ability to adapt quickly to new tools, technologies, and business environments.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
• Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
• Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
• Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
• Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

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.

Preferred Skills
Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite

Competencies
Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management Banking

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
Bachelors

Certifications
No Required Certification(s)

Licenses
No Required License(s)

Pay Transparency
Base Salary: $65,000.00 – $169,780.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the