Portfolio Analytics Strategy Specialist Sr. - Model Execution

PNC | Pittsburgh, PA

Posted Date 11/20/2019
Description 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. As a Sr. Portfolio Analytics Strategy Specialist within PNC's Balance Sheet Analytics & Modeling Group, you will be based in Pittsburgh, Pennsylvania, Cleveland, Ohio, Tyson's Corner, VA, Raleigh, NC, Wilmington, DE, or NYC, NY.

This position will primarily be responsible for model execution and providing analytical support for CCAR / DFAST regulatory compliance and the new CECL accounting regulations including:
• Partnership with Modeling, Credit Risk, MRMG, Audit, Data team, Technology and Portfolio management teams
• Executing CCAR/DFAST and CECL models
• Development and implementation of controls and governance of model execution process
• Synthesize analytical results from models, draw inferences and communicate stress loss results to the senior management
• Analyze large datasets and track portfolio trends

Successful candidate should have the following:

• BA/BS in Statistics, Mathematics, Economics, Finance or STEM program. Masters a plus.
• 8 years of model execution related experience
• Strong experience using quantitative techniques to analyze and support financial strategy development
• Experience in financial services in consumer or commercial lending is a plus.
• Candidate should have an understanding of economics, business and analytics, and should be able to translate quantitative results into meaningful and actionable recommendations
• Experience working with quantitative or financial models is a plus
• Knowledge of PD/EAD/LGD constructs also a plus
• Candidate should be able to demonstrate experience working with information and drawing meaningful insights using analytical techniques, as well as the ability to present and communicate those insights to a non-technical audience
• Experience with data analysis using SAS is a must.
• Python and or R is a plus.
• Advanced database management skills such as writing complex SQL queries and
performing UNIX commands is also helpful.

*Please note, PNC will not sponsor work visas for this position.

Job Description

  • Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
  • Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
  • Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
  • Understands and communicates regulatory and financial accounting impacts on the balance sheet to regulators and PNC control functions as appropriate. Interacts with regulators, internal audit, and management concerning credit portfolio analyses and credit risk appetite.
  • Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
  • Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

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.

Competencies

Analytical Approach – Synthesizes ideas and information required for process improvement into a manageable form.Banking Products – Knowledge of and ability to provide products and services available through the retail banking branch.Big Data Management and Analytics – Knowledge and ability to plan and execute, big data management and analytics.Business Analytics – Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using advanced statistical methods to justify and drive future business planning decisions.Credit Risk – Knowledge of processes, tools, and techniques used to determine the degree of credit risk in a given transaction or customer relationship; ability to assess, rate and manage exposure to credit risk.Mathematics of Financial Instruments – Knowledge of and ability to perform the mathematical calculations that underlie various financial instruments.Operational Risk – Knowledge of policies and processes for operational risk management; ability to use tools, data, and best practices to identify, assess, and manage operational risk exposures.Performance Measurement – Knowledge of and ability to utilize a variety of methods to measure the performance on a particular portfolio against industry benchmarks and related parameters.Predictive Analytics – Knowledge of, experience with and ability to use the tools, processes and practices for predicting business trends and providing forecasts that drive business decisions and business planning.Pricing Models and Analytics – Knowledge of pricing tools, techniques and methods; ability to assess analytical and pricing models through the use of statistical principles.Regulatory Environment - Financial Services – Knowledge of and ability to help an organization adapt to applicable federal, state, local, and company-specific regulations, policies, and guidelines affecting business practices.Risk Management Banking – Knowledge of and ability to use tools, regulations, and business practices to assess and control an organization's exposure to risk.

Work Experience

Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education and experience (including military service) may be considered.

Education

Bachelors

Disability Accommodations Statement:


The PNC workplace is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the PNC Careers website or submission process, please call 877-968-7762 and select Option 4: Recruiting or contact us via email at pathfinder@pnc.com.

The Human Resources Service Center hours of operation are Monday - Friday 9:00 AM to 5:00 PM ET.

Equal Employment Opportunity (EEO):


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

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