PNC · 13 hours ago
Quantitative Analytics & Model Development Expert - Balance Sheet Analytics & Modeling
Pittsburgh, PA
Full-time
Onsite
Senior Level, Lead/Staff
$100K/yr - $254K/yr
8+ years expPNC is a company that values its people as its greatest differentiator and competitive advantage. They are seeking a Quantitative Analytics & Model Development Expert to support their Balance Sheet Analytics & Modeling organization, utilizing statistical techniques to build models for detecting and monitoring account activity. The role involves collaboration with key stakeholders, leading innovative projects, and providing strategic insights around quantitative analyses and model development.
BankingFinanceFinancial Services
No H1B
Responsibilities
Use a variety of analytical techniques to extract usable information from various data sources, including customer, account, and transactional data sets
Participate in data set creation, analysis, reporting, model building, model monitoring and model documentation
Effectively communicate analytical results, represent the modeling team in various forums to inform senior executives and various team partners of progress on key modeling efforts
Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders
Provides strategic and analytical insights around quantitative analyses, processes, and validations
Reviews complex quantitative analyses and models and engages with the Line of Business to enhance model development by incorporating business feedback
Oversees the development of new model frameworks by supporting the line of business and provides consultative feedback around improvements
Reviews any recommended changes to existing models
Conducts executive level communication during the course of the review
Performs the most complex qualitative and quantitative assessments on all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity
Reviews reports and associated quantitative analysis and provides analytical insight into potential areas of improvement
Reviews validation of existing models and assesses model risks
Reviews the evaluations of identified model risks and provides high level consultation around recommended conclusions on strengths and limitations of the model
Provides consultative feedback around the preparation and analysis of regulatory compliance documents
Qualification
Required
Roles at this level typically require a university / college degree
Higher level education such as a Masters degree, or PhD is desirable
Industry experience is typically 8 + years
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
Master's or PhD degree in Statistics or Econometrics
Experience with data mining, and data preparation for ML models including EDA, data transformations and preprocessing
Proficiency in statistical methods and tools, including experimental design, probability theory, and sampling
Expertise in building, scaling, and optimizing machine learning systems with industry recognized ML frameworks and algorithms
Strong programming skills in Python, PySpark, R, SAS, and/or SQL
Familiarity with big data technologies like Hadoop, Spark, Hive, Impala etc
Experience working with model risk governing bodies in model validation, and with model implementation partners in productionizing a model
Critical thinking and problem-solving aptitude with the ability to apply analytical rigor to complex business problems
Ability to present complex technical concepts clearly and effectively to non-technical stakeholders and business partners
Proven ability to lead and mentor other data scientists
Ability to manage multiple projects simultaneously
Strong teamwork skills and ability to work across different departments
Experience in banking/ financial services
Experience with anti-fraud and/or anti-money laundering modeling
Hands-on experience building various types of AI/Machine Learning models, including neural networks
Experience with cloud platforms like AWS, Google Cloud, or Azure
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
9 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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