Quantitative Analytics & Model Analyst - Retail Lending Data Model Analytics

PNC•Pittsburgh, PA

1d•Onsite

About The Position

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics & Model Analyst within PNC's Retail Lending Data Model Analytics organization, you will be based in Pittsburgh, PA; Cleveland, OH; or Tyson's Corner, VA. Job Description 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. For nearly 160 years, PNC has strived to make a meaningful impact for our employees, customers, communities, and shareholders. We believe our success and positive reputation are built on open and honest dialogue, an unwavering focus on smart risk management, relationship-based customer service and community investments. Our inclusive workplace allows our employees to be heard, valued, and developed to do their best work. Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit our Total Rewards page. If you're not ready to apply yet, or you'd like to learn more about PNC, join the Talent Community to receive regular updates on what's happening at PNC and available career opportunities. Click to join!

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
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

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.
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.

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