Portfolio Analytics & Strategy Specialist - Retail Data Solutions & Delivery

** 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 Retail Data Solutions & Delivery  organization, you will be based in Pittsburgh, or Philadelphia, PA;
Cleveland, or Brecksville, OH;
Wilmington, DE;
Tyson's Corner, VA; or Washington, D.C.

Job Summary:

We are seeking a highly analytical and technically curious Portfolio Analytics & Strategy Specialist to join our Retail Data Solutions & Delivery team. This role will support the development, delivery, and optimization of data-driven solutions that enable strategic decision-making across Retail Banking and related business functions.

The ideal candidate combines strong analytical capabilities with technical proficiency in modern data technologies and cloud-based platforms. This individual will collaborate with business partners, product owners, technology teams, and stakeholders to deliver actionable insights, support data initiatives, perform testing activities, and drive continuous process improvement. Candidates should be comfortable translating business requirements into data solutions while leveraging emerging technologies such as Generative AI and AI-assisted development tools.

Required

Qualifications & Skills:

- Experience working with large and complex datasets to support business decision-making.

- Proficiency with:
Python, PySpark, or AWS

- Familiarity with at least one programming language and software development concepts.

- Strong analytical and quantitative problem-solving skills.

- Demonstrated critical thinking and strategic thinking abilities.

- Experience identifying business challenges and recommending data-driven solutions.

- Familiarity with Agile methodologies, frameworks, or cloud-based technology platforms.

- Experience gathering, interpreting, and documenting business requirements.

- Strong technical writing and documentation skills.

- Proven experience executing and documenting User Acceptance Testing (UAT).

- Experience with :
Generative AI tools, Git Hub, and Copilot

- Ability to communicate effectively with business and technical stakeholders.

- Strong organizational, prioritization, and time-management skills.

Preferred

Qualifications & Skills:

- Banking, Retail Banking, Consumer Banking, Financial Services, or Fin Tech experience.

- Experience with Python (Preferred), Spark (Preferred), Hadoop & Teradata environments.

- Experience with enterprise-scale data warehousing solutions.

- Exposure to data engineering, cloud analytics platforms, and modern data architectures.

- Experience supporting analytics, reporting, and data transformation initiatives.

- Familiarity with data governance, testing frameworks, and data quality controls.

- Experience working within cross-functional Agile delivery teams.

Education & Experience Requirements :

Candidates must meet one of the following education and experience combinations:

- Bachelor's Degree and 5+ years of relevant professional experience.

- Master's Degree and 3+ years of relevant professional experience.

- PhD and no prior professional experience required.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

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…