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PNC · 19 hours ago

Quantitative Analytics & Model Development Analyst Senior - Balance Sheet Analytics & Modeling

Pittsburgh, PA

Full-time

Onsite

Mid, Senior Level

3+ years exp

PNC is a company that values its employees as its greatest differentiator and competitive advantage. The role of Quantitative Analytics & Model Development Analyst Senior involves utilizing statistical techniques to analyze and build models for detecting concerning patterns of account activity, while collaborating with stakeholders to enhance strategies.

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

Work together within a team of analysts to validate each other’s work sets, code, and machine learning models

Take on ad-hoc exercises to close gaps and identify suspicious activity within a fast-paced environment

Collaboration with 1st, 2nd and 3rd line of defenses and other key stakeholders

Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses

Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models

Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics

Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model

Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates

Qualification

SQLMachine LearningModel DevelopmentData AnalyticsStatistical TechniquesAWSPredictive ModelsAnalytical ThinkingFinancial AnalysisCredit RisksOperational RisksQuantitative ModelsRisk AppetiteTestingEffective Communications

Required

Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience

Certifications are often desired

In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered

Preferred

Bachelors, Master's or PhD degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Physics, Quantitative Psychology, Quantitative Political Science, MBA with a specialization in Analytics) with 3 year of relevant work experience

Strong experience executing complex queries and building large datasets using SQL, PySpark, or other querying tools

Experience designing samples and developing predictive models using regression, clustering, decision trees approaches, and using Machine Learning techniques/algorithms like gradient boosting, neural networks

Strong communication skills that encompass writing (experience writing documentation with regulatory requirements is a plus), communicating, facilitating, and presenting cogently to and/or for all levels of audiences

A demonstrated history of successfully managing several projects concurrently

A demonstrated ability to develop strong relationships and partnerships within and outside of the organization

Understanding of statistics including sampling weights, confusion matrices, and confidence intervals

Experience working in AWS for model development

Experience writing documentation with regulatory requirements

Experience analyzing code and conducting tests and analysis for quality assurance to confirm it is working as expected

Analytical Thinking

Credit Risks

Data Analytics

Financial Analysis

Model Development

Operational Risks