Senior Quantitative Analytics, Model Development Analyst

PNC

. Analyze credit loss model inputs, assumptions, processes, and outputs .

Posted 9/17/2026full-timePittsburgh • Pennsylvania • United StatesSenior💰 $86,250 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, model development, and data analytics, with proficiency in Python and SQL. Capable of communicating complex insights to diverse audiences while ensuring compliance with regulatory standards.

Highest-signal resume keywords

Quantitative AnalysisModel DevelopmentPython ProficiencySQL ProficiencyData Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ModelsPredictive AnalyticsStatistical ModelsFinancial AnalysisModel ValidationData Quality AssessmentComplex ReportingAutomationTestingControls

Soft Skills

Problem-SolvingCommunicationAnalytical Thinking

Industry Keywords

Credit RisksOperational RisksRegulatory ComplianceBanking Quantitative AnalysisData GatheringConsultingRisk Appetite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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
Independently perform advanced quantitative analyses and model development to support decision-making
Run quantitative strategies and make recommendations based on analyses
Analyze and develop new model frameworks supporting the line of business
Refine, monitor, and review existing models
Communicate with model owners and model developers throughout reviews
Work with large, complex datasets to create models
Perform quantitative analysis and develop complex reports
Assess theoretical aspects, model design and implementation, data quality, and data integrity
Measure and analyze model risks and determine model strengths and limitations
Prepare and analyze detailed documents for validation and regulatory compliance

Requirements

What you’ll need

Bachelor’s degree in an analytical discipline or equivalent relevant experience
3+ years of relevant/direct industry experience typically required at this level
Strong data analytics, problem-solving, and communication skills
Ability to interpret complex results and translate them into clear insights
Proficiency in Python and SQL
Familiarity with statistical models and large datasets
Knowledge of quantitative models, predictive analytics, quantitative techniques, credit risks, financial analysis, model development, operational risks, and risk appetite
Knowledge of banking quantitative analysis, regulatory environment in financial services, data gathering and reporting, consulting, communications, and testing
No employment visa sponsorship or STEM OPT participation
Must satisfy applicable FDIA Section 19 and, for registered roles, SAFE Act and/or FINRA requirements

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