Quantitative Analytics & Model Consultant Senior - Retail Banking; ML & Predictive modeling

Position: Quantitative Analytics & Model Consultant Senior - Retail Banking (ML & Predictive modeling)
Location: West Mclean

Job : R238507

Posted:

Location:

PA
- Pittsburgh (15222); VA
- Tysons Corner; NJ
- East Brunswick; DC
- Washington (20006); OH
- Cleveland (44114)
Salary: $ - $Type:
Full time Country:
United States of America Company: PNCPosition 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 Quantitative Analytics & Model Consultant Senior within PNC's Retail Banking (ML & Predictive modeling) organization, you will be based in Pittsburgh, PA;
Cleveland, OH;
Tyson's Corner, VA;
Washington, DC; or East Brunswick, NJ.

Job Summary:

PNC is seeking a highly skilled Quantitative Analytics & Model Consultant Senior to join the Retail Banking (ML & Predictive modeling) team. This role focuses on the development, validation, implementation, and enhancement of advanced machine learning, predictive analytics, and quantitative modeling solutions that support strategic business objectives across deposits, transactions, wealth management, customer segmentation, and retail banking initiatives.

The successful candidate will leverage large-scale data assets, cloud-based technologies, and advanced analytical techniques to build and optimize predictive models, conduct experimentation, simulate business scenarios, and deliver actionable insights to stakeholders at all levels of the organization. This individual will collaborate closely with cross-functional teams while communicating complex analytical findings to technical, business, and executive audiences.

Required Qualifications:

• Bachelor's Degree and 8+ years of quantitative analytics, predictive modeling, machine learning, data science, or related experience, Master's Degree and 6+ years of relevant experience, or PhD and 3+ years of relevant experience.
• Advanced programming experience with Python and PySpark.
• Strong hands-on experience developing and deploying machine learning and predictive modeling solutions.
• Experience working with cloud computing environments, including AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Advanced SQL expertise including Complex Joins, Aggregations, Subqueries, Data transformation and manipulation, and Query optimization
• Experience working with large-scale datasets and big data environments.
• Strong analytical, quantitative, and problem-solving skills.
• Proven ability to communicate technical concepts to both technical and non-technical audiences.
• Experience collaborating across multiple business functions and stakeholder groups.
• Demonstrated ability to influence decision-making through data-driven insights.

Preferred Qualifications:

• Banking or financial services industry experience.
• Prior experience supporting one or more of the following:
Exposure at Default (EAD), Probability of Default (PD), Loss Given Default (LGD), Current Expected Credit Loss (CECL).
• Stress Testing other risk modeling and regulatory frameworks
• Experience supporting retail banking products, including deposits, transactions, customer segmentation, or wealth management.
• Familiarity with model risk management and regulatory expectations within the banking industry.

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 I…