Quantitative Analytics & Model Development Analyst - Data, Model & Analtyics
Pittsburgh, PA
Full-time
Onsite
$45K/yr - $104K/yr
Entry, Mid Level
PNC is a leading financial services company that values its people as its greatest differentiator. They are looking for a Quantitative Analytics & Model Development Analyst to support the Commercial Credit Analytics team, focusing on model monitoring, data management, and enhancing model performance through quantitative analysis and collaboration with cross-functional teams.
Monitor performance of Risk Rating models (PD, LGD, EAD) and CECL/CCAR loss forecasting frameworks
Partner with underwriters, credit officers, model owners, and developers to assess results and derive actionable model insights
Deliver performance updates and insights to senior leadership and governance committees
Contribute to Commercial Data Domain initiatives related to risk parameter management
Support automation and centralization efforts for model monitoring and analytics processes
Build and enhance analytical tools and reports using Python and SQL to meet evolving business needs
Perform advanced quantitative analyses and models development to support decision-making by running quantitative strategies
Analyze and develop new model frameworks by supporting the line of business
Refine, monitor, and review existing models
Conduct on-going communication with model owners and model developers during the course of the review
Work with large data to create models
Perform quantitative analysis and develop reports
Perform qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity
Analyze complex data and associated quantitative analysis
Use quantitative tools and techniques to measure and analyze model risks and reach conclusions on strengths and limitations of the model
Prepare and analyze detailed documents for validation and regulatory compliance, using applicable templates
Qualification
Required
Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science
Proficiency in Python and SQL for data analysis, automation, and reporting
Ability to collaborate effectively with cross-functional teams including underwriters, credit officers, and model developers
Excellent communication skills for presenting technical findings to senior leadership and governance committees
Experience with credit risk modeling, monitoring, validation and governance processes
Experience with data management practices and commercial lending portfolios
Roles at this level typically require a university / college degree, with 2+ years of relevant professional experience
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
Preferred
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
Benefits
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
Maternity and/or parental leave
Up to 11 paid holidays each year
9 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
PNC is a financial service company providing bank deposits products and services to its community.
