Quantitative Analytics & Model Analyst - Retail Lending Data Model Analytics
About The Position
Under general supervision, performs advanced quantitative analyses and models development to support decision-making by running quantitative strategies. 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 large data to create models. Performs quantitative analysis and develops 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. 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Requirements
- 1–2 years of experience in quantitative modeling, reinforcement learning, optimization modeling, or related analytical work OR Bachelor’s degree (or higher) in Mathematics, Statistics, Quantitative Methods, Data Science, Computer Science, or a related field
- Experience or academic exposure to reinforcement learning and/or optimization modeling techniques
- Strong quantitative, mathematical, and statistical background
- Understanding of human input models or unique/custom modeling approaches
- Knowledge of how models interact with computer systems and software environments
- Familiarity with how models accept, process, and respond to various forms of input data
- Strong analytical thinking and problem solving skills
- Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role.
- Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Nice To Haves
- Experience applying reinforcement learning or optimization techniques in financial, lending, or decision science contexts
- Exposure to model deployment concepts and system integration
- Familiarity with simulation, control systems, or feedback driven modeling
- Strong written and verbal communication skills for explaining complex models to non technical audiences
Responsibilities
- Design, develop, and evaluate quantitative models used in retail lending analytics and optimization.
- Apply reinforcement learning frameworks and/or optimization modeling techniques to decision based problems.
- Analyze how models interact with computer systems, including inputs, outputs, and feedback loops.
- Incorporate human-in-the-loop or other forms of human input models where applicable.
- Test model behavior using different input structures and system configurations.
- Document model assumptions, methodologies, results, and limitations.
- Collaborate with technical teams to support model integration into production systems.
- Support ongoing model enhancements, validation, and performance monitoring.
- Refines, monitors, and reviews 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 quantitative analysis and develops 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.
- 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.
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
