Portfolio Analytics & Strategy Specialist - Data, Modeling & Analytics

PNC•Pittsburgh, PA

1d•Onsite

About The Position

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 Data, Modeling & Analytics Commercial Credit Analytics organization, you will be based in Pittsburgh, PA. PNC is seeking a Portfolio Analytics & Strategy Analyst Specialist for the Commercial Credit Analytics team within the Data, Modeling, and Analytics group. This role focuses on supporting the implementation, monitoring, and enhancement of regulatory-compliant quantitative risk models such as PD, LGD, and EAD for wholesale portfolios. These capabilities are delivered through the Pega-based Risk Rating Platform (RRP), which enables end-to-end risk assessment and credit decisioning. The role is well-suited for professionals with strong experience in Pega-based application development, enterprise architecture, and analytics-driven platform implementations, with the ability to bridge business, risk, and technology domains.

Requirements

Bachelor’s degree in engineering or related field; 5+ years of professional experience in software development, enterprise application design, and Pega-based solutions.
Strong experience in Pega development is recommended, with familiarity in application architecture, case management, and enterprise-scale implementations.
Experience in analysis, requirement gathering, design, software development lifecycle and large scale enterprise application systems.
Ability to learn complex material quickly, allocate time efficiently; handle multiple projects and deliverables concurrently, while managing competing priorities.
Strong communication, interpersonal, time management and organizational skills.
Working knowledge of database programming languages such as SQL, SAS, Python (preferred), etc.
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.

Nice To Haves

Python (preferred)

Responsibilities

Lead and contribute across the full application lifecycle, including requirements gathering, design, development, testing, and production deployment, leveraging Pega best practices.
Partner with Line of Business stakeholders, architects, and SMEs to translate business needs into scalable process flows, UI designs, and case management solutions.
Drive implementation and enhancement of risk rating and credit analytics functionality within the Pega-based RRP platform, ensuring alignment with regulatory and business requirements.
Support development and integration of data models, reporting components, and real-time analytics capabilities to enable risk measurement and portfolio insights.
Participate in and lead Agile ceremonies, including backlog grooming, story creation, and sprint execution to deliver high-quality solutions.
Ensure solutions adhere to Pega guardrails, performance standards, and enterprise architecture guidelines, including code reviews and optimization strategies.
Contribute to testing (unit, SIT, UAT, performance) and ongoing platform support, ensuring stability and continuous improvement of the RRP application.
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.