PNC is looking for a Business Analytics & Model Development Consultant to perform CECL reserve production and support CCAR stress credit loss projection by working with stakeholders from credit loss modeling, business, finance, and data.
Requirements
- Able to design and implement the process based on business requirements with the computer language (python is preferrable).
- Strong experience with Python, SQL and Spark is a plus
- Experience with Linux system, PAE and Tableau
- Experience with Dremio but not required.
- Analytical Thinking
- Credit Risks
- Data Analytics
Responsibilities
- Able to design and implement the process based on business requirements with the computer language (python is preferrable).
- Able to identify, debug, solve issues independently,
- 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.
Other
- Detail-oriented and quick learner. need to analyze complex problem and translate them to analytics approach
- Work with internal and external teams to understand business requirements, develop solutions, analyze outputs, and delivery results.
- Strong communication skills
- 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.
