Quantitative Analytics & Model Consultant

PNC Bank • Pittsburgh, PA

2d • 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 Quantitative Analytics & Model Consultant within PNC's Balance Sheet Analytics & Modeling organization, you will be based in Pittsburgh, PA, Wilmington, DE, or Tyson's Corner, VA. Responsibilities require time in the office or in the field on a regular basis. Role Summary: We are seeking a highly motivated Quantitative Analyst (C4) to join our team. This role bridges advanced analytics and model development, focusing on fraud detection, financial crime prevention, and large-scale data solutions. The ideal candidate will combine strong technical expertise with analytical problem-solving skills and domain knowledge in financial services.

Requirements

• Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
• 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.

Nice To Haves

• Strong programming experience in Python (including PySpark or similar big data frameworks); familiarity with R is a plus.
• Hands-on experience with data engineering and analytics in large-scale environments.
• Working knowledge of Machine Learning techniques (including deep learning, graphic data, etc.) and their implementation and monitoring procedures; exposure to large language models, GPU-based computations or other advanced analytics is a plus.
• Familiarity with cloud platforms (AWS preferred), or distributed computing frameworks is desirable.
• Ability to perform ad hoc analyses and deliver actionable insights under tight timelines.
• Strong problem-solving skills with a focus on continuous improvement and optimization.
• Exposure to Banking/Financial Services, with an understanding of Fraud/Financial Crimes and/or AML detection processes.
• Awareness and experience with the model development lifecycle (development, validation, implementation, monitoring, etc.).
• Excellent written and verbal communication skills for both technical and non-technical audiences.
• Collaborative team player with a proactive, self-starter mindset and strong curiosity for learning.
• Master’s degree in a quantitative field (PhD preferred but not required).
• Analytical Thinking
• Credit Risks
• Data Analytics
• Financial Analysis
• Model Development
• Operational Risks
• Quantitative Models
• Risk Appetite
• Bank Quantitative Analysis
• Consulting
• Data Gathering and Reporting
• Effective Communications
• Predictive Analytics
• Quantitative Techniques
• Regulatory Environment - Financial Services
• Testing

Responsibilities

• Model Implementation & Strategy Execution Implement complex fraud detection models, including batch-execution platforms, real-time scoring engines and anomaly detection systems. Execute complex quantitative strategies. Supports decision-making through performance analysis and operational impact assessments.
• Model Monitoring & Model Risk Analysis & Validation: Performs advanced qualitative and quantitative assessments of models. Create review reports and associated quantitative analysis. Validates models outputs and evaluates associated risks.
• Model Development & Framework Support: Develops new model frameworks in collaboration with the line of business. Engages with model owners and developers throughout the review process. Works with large data to engineer predictive features and validate model logic.
• Documentation & Regulatory Compliance: Prepares detailed validation and compliance documentation using standard templates to support regulatory and internal audit requirements.
• Performs complex quantitative analyses and models development to support decision-making by running quantitative strategies.
• Develops new model frameworks by supporting the line of business.
• Refines, monitors, and validates existing models.
• Conducts on-going communication with model owners and model developers during the course of the review.
• Works with large data to create models.
• Performs advanced qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity.
• Reviews reports and associated quantitative analysis.
• Validates existing models and assesses model risks.
• Evaluates identified model risks and reaches conclusions on strengths and limitations of the model.
• Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

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 Your PNC Total Rewards .

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level