Quantitative Analytics & Model Consultant - Data, Modeling, & Analytics
About The Position
As a Quantitative Analytics & Model Consultant within PNC's Fraud and Anti-Money Laundering Analytics & Modeling team, you will be part of a cohesive team of professionals who utilize a variety of statistical techniques to build models to detect, monitor, and avert concerning patterns of account activity. In this role, you will work with key stakeholders across the bank to identify patterns and risk indicators within the firm’s account and transaction datasets, identify opportunities for new strategies, and recommend improvements to existing strategies. You will be leading innovative AML projects that are patentable, utilizing statistical techniques, including logistic regression, clustering, gradient boosting, neural network, and other machine learning algorithms, to design samples and build statistical models. Performs complex quantitative analyses and models development to support decision-making by running quantitative strategies. Develops new model frameworks by supporting the line of business. Refines, monitors, and validates existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models. Performs advanced 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. Validates existing models and assesses model risks. Evaluates identified 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.
Requirements
- Master's degree or higher in a quantitative field and 3+ years of professional experience
- 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, 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
- Ability to manage multiple projects simultaneously
- Strong teamwork skills and ability to work across different departments
- Analytical Thinking
- Credit Risks
- Data Analytics
- Financial Analysis
- Model Development
- Operational Risks
- Quantitative Models
- Risk Appetite
- Bank Quantitative Analysis
- Consulting
- Data Gathering and Reporting
- Effective Communications
- Predictive Analytics
- Quantitative Techniques
- Regulatory Environment - Financial Services
- Testing
- Bachelors
Nice To Haves
- Master’s degree in Statistics or Econometrics
- Experience in banking/ financial services
- Experience with anti-fraud and/or anti-money laundering modeling
- Hands-on experience building various types of AI/ML models, including neural networks
- Experience with cloud platforms like AWS, Google Cloud, or Azure
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
- Experience in developing GenAI solutions
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
