Quantitative Analytics & Model Development Analyst Sr

PNC Financial Services Group, Inc.; Pittsburgh, Northern (Allegheny County, KY); Hybrid; USD 86,000 - 173,000; Full time

Job summary

PNC Financial Services Group, Inc. is seeking a Senior Quantitative Analytics & Model Development Analyst in the Finance organization. Based in Pittsburgh, PA, Washington D.C., or Northern Virginia, you will analyze credit loss projections and work with statistical models and data to produce clear reporting.

The role emphasizes model development, validation, and collaboration with model owners, with emphasis on Python, SQL, and large datasets; visa sponsorship not provided.

Qualifications

• Bachelor’s degree in an analytical discipline or equivalent experience.
• Strong data analytics, problem-solving, and communication skills.
• Proficiency in Python and SQL; familiarity with statistical models.

Responsibilities

• Analyze credit loss model inputs, assumptions, processes, and outputs.
• Summarize analytical findings for technical, business, and senior-management audiences.
• Maintain and enhance software supporting analytics and reporting.
• Develop and validate quantitative analyses and complex reports.
• Prepare documentation for model validation and regulatory compliance.

Skills

Python

SQL

Data analytics

Communication

Statistical models

Education

Bachelor's degree in analytical discipline

Job description

## Quantitative Analytics & Model Development Analyst SrApply: PA - Pittsburgh (15222): VA - Virginia: DC - Washington (20006): Full time: Posted Today: R235611# **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 Quantitative Analytics & Model Development Analyst Sr within PNC's Finance organization, you will be based in Pittsburgh, PA, Washington D.C., or Northern Virginia. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position. The Credit Loss Projection Analytics and Reporting team within Corporate Treasury is seeking a Senior Analyst to analyze, interpret, and communicate credit loss projections. The role will work with statistical models and related data, assess projection results and drivers, produce clear reporting, and support the software used for analytics and reporting. Primary Responsibilities: • Analyze credit loss model inputs, assumptions, processes, and outputs. • Summarize and explain analytical findings for technical, business, and senior-management audiences. • Maintain and enhance software supporting analytics and reporting, including automation, testing, controls, and documentation. Qualifications and Skills: • Bachelor’s degree in an analytical discipline or equivalent relevant experience. • Strong data analytics, problem-solving, and communication skills, with the ability to interpret complex results and translate them into clear insights. • Proficiency in Python and SQL. • Familiarity with statistical models and working with large datasets. Preferred Qualifications: • Experience in banking, financial services, credit risk, credit loss forecasting, or regulatory reporting.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*** Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.* Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.* Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.* Uses quantitative tools and techniques to measure and analyze 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.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**Bank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, Testing## **Work Experience**Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. 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)## **Language Assessments**No Required or Preferred Language Assessments# **Pay Transparency**Base Salary: $86,250.00 – $172,500.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.