About The Position

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 Business Analytics & Model Development Consultant within PNC's Balance Sheet Analytics & Modeling Card Loss Forecast organization, you will be based in Pittsburgh, PA. This position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at manager's discretion. In this role, you will work with different stakeholders from credit loss modeling, business, finance, and data to perform CECL reserve production and support CCAR stress credit loss projection.

Requirements

  • Bachelor or above in Math, computer science, Data Science, Engineering or equivalent areas.
  • Strong experience with Python, SQL and Spark is a plus.
  • Strong communication skills.
  • Knowledge on credit loss, CECL/CCAR, balance sheet products is preferred.
  • Experience with Linux system, PAE and Tableau.
  • Experience with Dremio but not required.

Nice To Haves

  • Analytical Thinking
  • Credit Risks
  • Data Analytics
  • Financial Analysis
  • Model Development
  • Operational Risks
  • Quantitative Models
  • Risk Appetite

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.
  • 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.
  • 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.

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
  • 8 occasional absence days each year
  • 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

Industry

Credit Intermediation and Related Activities

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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