PNC · 4 weeks ago
Quantitative Analytics & Model Consultant
Pittsburgh, PA
Full-time
Onsite
Senior Level
5+ years expPNC is a leading financial services institution that prioritizes its employees as a key differentiator in the market. The Quantitative Analytics & Model Consultant role focuses on implementing and validating complex fraud detection models while ensuring compliance with regulatory requirements. This position requires strong analytical skills and a solid understanding of financial services, particularly in fraud detection and model development.
BankingFinanceFinancial Services
No H1B
Responsibilities
Implement complex fraud detection models, including batch-execution platforms, real-time scoring engines and anomaly detection systems
Execute complex quantitative strategies
Supports decision-making through performance analysis and operational impact assessments
Performs advanced qualitative and quantitative assessments of models
Create review reports and associated quantitative analysis
Validates models outputs and evaluates associated risks
Develops new model frameworks in collaboration with the line of business
Engages with model owners and developers throughout the review process
Works with large data to engineer predictive features and validate model logic
Prepares detailed validation and compliance documentation using standard templates to support regulatory and internal audit requirements
Qualification
Required
Master's degree in a quantitative field (PhD preferred but not required)
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience
Specific certifications are often required
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered
Preferred
Strong programming experience in Python (including PySpark or similar big data frameworks); familiarity with R is a plus
Hands-on experience with data engineering and analytics in large-scale environments
Working knowledge of Machine Learning techniques (including deep learning, graphic data, etc.) and their implementation and monitoring procedures; exposure to large language models, GPU-based computations or other advanced analytics is a plus
Familiarity with cloud platforms (AWS preferred), or distributed computing frameworks is desirable
Ability to perform ad hoc analyses and deliver actionable insights under tight timelines
Strong problem-solving skills with a focus on continuous improvement and optimization
Exposure to Banking/Financial Services, with an understanding of Fraud/Financial Crimes and/or AML detection processes
Awareness and experience with the model development lifecycle (development, validation, implementation, monitoring, etc.)
Excellent written and verbal communication skills for both technical and non-technical audiences
Collaborative team player with a proactive, self-starter mindset and strong curiosity for learning
Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk Appetite
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
8 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
Company
PNC
PNC is a financial service company providing bank deposits products and services to its community.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1975-11-17IPO
Leadership Team
Keith Hayes
SVP, PNC Aviation Finance
M
Michael Gaber
Senior Vice President - Originations
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