PNC is looking to solve the business problem of driving marketing performance through the development of advanced analytical solutions. This involves designing, building, and optimizing predictive models to support customer acquisition, retention, cross-sell, and lifecycle marketing strategies, particularly within the credit card and consumer lending product space.
Requirements
- Significant experience applying statistical modeling and machine learning techniques within financial services, in the credit card and/or consumer lending marketing domain.
- Proficiency in Python, R and SQL.
- Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
- Analytical Thinking
- Data Analytics
- Model Development
- Quantitative Models
Responsibilities
- Lead the design and development of marketing targeting models supporting acquisition and customer lifecycle management.
- Oversees the development, testing, and/or validation of quantitative models used for important business decisions and policies.
- Conducts robust and comprehensive model review testing and analysis in accordance with all applicable review procedures and lifecycle standards.
- Oversees development of new model frameworks by supporting the line of business.
- Refines, monitors, and validates existing models.
- Works with large data to create models.
- Monitor and evaluate emerging trends and technologies and integrate innovative approaches into existing models.
Other
- Collaborate with marketing and product teams to translate business objectives into analytical solutions.
- Manage a team of data scientists, providing mentorship and technical guidance.
- Ensure models are robust, scalable, and compliant with internal standards.
- Present findings and strategic recommendations to senior leadership and stakeholders.
- Excellent communication skills with the ability to explain complex concepts to non-technical audiences.
