Senior Quantitative Analytics & Model Analyst – Credit Loss Forecasting

PNC

. Design, develop, implement, and enhance quantitative analytics, model-support, and AI-enabled automation solutions for CECL, CCAR, Model Monitoring, and strategic risk initiatives .

Posted 11/6/2026full-timeUnited StatesSenior💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative analytics, model development, and AI-enabled automation solutions, with a strong focus on Python programming and model governance. Capable of analyzing complex datasets and ensuring compliance with regulatory standards while effectively communicating technical concepts.

Highest-signal resume keywords

Quantitative AnalyticsPython ProgrammingModel ImplementationAI/ML SolutionsData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative FinanceStatistical ModelingMachine LearningData AnalysisWorkflow AutomationModel MonitoringTesting StandardsVersion ControlChange ManagementData Quality Assurance

Soft Skills

Strong CommunicationCollaboration SkillsProblem-Solving

Tools & Technologies

PySparkAutomated WorkflowsAnalytical OutputsGovernance Documentation

Industry Keywords

CECLCCARModel RiskData PrivacyInformation SecurityResponsible AIRegulatory Compliance

Tech Stack

Tools & technologies

PySparkPython

About the role

Key responsibilities & impact

Design, develop, implement, and enhance quantitative analytics, model-support, and AI-enabled automation solutions for CECL, CCAR, Model Monitoring, and strategic risk initiatives
Provide hands-on support from requirements and design through controlled deployment and production support
Develop and review modular, testable, production-ready Python and PySpark code, data pipelines, controls, and workflow automation
Support model onboarding, implementation, monitoring, and remediation
Execute unit, integration, regression, reconciliation, and performance testing
Diagnose and resolve issues involving model execution, data quality, workflow orchestration, configuration, and analytical outputs
Analyze large and complex datasets to assess model performance and investigate discrepancies
Evaluate and apply generative AI and LLM-based capabilities with security, explainability, governance, testing, and human oversight
Support model and analytical governance, risk assessments, validation, audit and regulatory responses, and issue remediation
Prepare technical, governance, validation, and regulatory documentation
Partner with model owners, development, validation, technology, and business teams
Participate in design and code reviews and communicate findings and recommendations
Independently perform advanced quantitative analyses and model development
Refine, monitor, and review existing models and assess model risks, strengths, and limitations

Requirements

What you’ll need

Bachelor's or Master's degree in Quantitative Finance, Statistics, Mathematics, Computer Science, Data Science, Engineering, Operations Research, or a related quantitative field; advanced degree preferred
Solid experience in quantitative analytics, model implementation, model monitoring, or AI/ML solutions in enterprise environments
Strong hands-on Python programming experience building modular, testable, production-ready solutions
Experience with automated workflows, data pipelines, controls, reconciliation processes, and large, complex datasets
Solid knowledge of statistical modeling, machine learning, and quantitative methods
Ability to diagnose and resolve issues involving code, data, workflows, and analytical outputs
Knowledge of testing, documentation, version control, and change management standards
Understanding of model risk, data privacy, information security, responsible AI, and governance requirements
Strong communication and collaboration skills; ability to explain technical concepts to technical and non-technical audiences
No employment visa sponsorship or STEM OPT sponsorship provided
Typically requires 3+ years of relevant/direct industry experience
Comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree

Benefits

Comp & perks

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 plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year
15 to 25 vacation days each year, depending on career level
Incentive-eligible compensation based on company, business, and/or individual performance