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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced quantitative analysis, model development, and risk management within the financial services industry. Proficient in Python for data analysis and modeling, with a strong focus on regulatory compliance and customer-centric solutions.
Highest-signal resume keywords
Advanced Quantitative AnalysisPython Coding for Data AnalysisModel DevelopmentFinancial Services Industry ExperienceArtificial Intelligence (AI) Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative AnalysisModel DevelopmentData AnalyticsFinancial AnalysisPredictive AnalyticsQuantitative TechniquesRisk AssessmentData Gathering and ReportingOperational RisksCredit Risks
Soft Skills
Analytical ThinkingProblem-SolvingEffective Communication
Industry Keywords
Financial ServicesRegulatory ComplianceEnterprise Risk Management FrameworkModel ValidationCustomer Solutions
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Independently perform advanced quantitative analyses and model development to drive decision-making through quantitative strategies
- Make recommendations based on analyses and data analytics findings
- Analyze and develop new model frameworks in support of the line of business
- Refine, monitor, and review existing models
- Communicate with model owners and model developers throughout reviews
- Work with larger, more complex datasets to create models
- Perform quantitative analysis and develop complex reports
- Conduct qualitative and quantitative assessments of model theory, design, implementation, data quality, and integrity
- Use quantitative tools and techniques to measure and analyze model risks and determine model strengths and limitations
- Prepare and analyze detailed documents for validation and regulatory compliance using applicable templates
- Assess and manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework
- Leverage customer needs and satisfaction considerations in creating customized customer solutions
Requirements
What you’ll need- University/college degree typically required, with 3+ years of relevant/direct industry experience
- Bachelor's degree listed under Education
- Comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
- Experience and knowledge in Artificial Intelligence (AI)
- Ability to support and contribute to new AI initiatives
- Strong analytical thinking and problem-solving skills
- Proficiency in Python coding for data analysis, modeling, and automation
- Financial services industry experience preferred
- Knowledge of analytical thinking, credit risks, data analytics, financial analysis, model development, operational risks, quantitative models, and risk appetite
- Competency in bank quantitative analysis, consulting, data gathering and reporting, effective communications, predictive analytics, quantitative techniques, financial-services regulatory environment, and testing
- No required certifications
- No required licenses
- No required or preferred language assessments
- Must not require employment visa sponsorship; PNC will not participate in STEM OPT for this position
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, unless otherwise required by law
- 15 to 25 vacation days each year, depending on career level
- Incentive-eligible compensation based on company, business, and/or individual performance
- Reasonable workplace accommodations
