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PNC · 3 months ago

Quantitative Analytics & Model Development Analyst Senior - Balance Sheet Analytics & Modeling

VA - Tysons Corner

Full-time

Onsite

Mid, Senior Level

$55K/yr - $157K/yr

3+ years exp

PNC is a leading financial services institution that values its employees as its greatest asset. The Senior Quantitative Analytics & Model Development Analyst will work within the Commercial Credit Analytics team to monitor and enhance credit risk models while collaborating with various stakeholders to derive actionable insights and support model performance initiatives.

BankingFinanceFinancial Services

No H1B

Responsibilities

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

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

Qualification

Credit risk modelingPythonSQLModel developmentData analyticsQuantitative analysisAnalytical thinkingPredictive analyticsOperational risksRisk appetiteRegulatory environmentEffective communications

Required

Degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, or Data Science

Experience with credit risk modeling, including PD, LGD, EAD, CECL, and CCAR frameworks

Proficiency in Python and SQL for data analysis, automation, and reporting

Familiarity with model performance monitoring, validation, and governance processes

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 data management practices and commercial lending portfolios is a plus