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Portfolio AnalyticsPNCPittsburgh, Pennsylvania, United States

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Portfolio Analytics

PNC
  • US
    Pittsburgh, Pennsylvania, United States
  • US
    Pittsburgh, Pennsylvania, United States

About

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(n) Portfolio Analytics & Strategy Specialist within PNC's Balance Sheet Analytics & Modeling organization, you will be based in Pittsburgh, PA, or Cleveland, OH. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis.
Required Skills/Experience:
• 5 + years of Advanced/Intermediate Level of experience with SQL
• Must be highly proficient in writing complex SQL queries, subqueries, and performance optimized statements
• Proven ability to work with large datasets and build efficient, scalable SQL solutions.
• 5 + years of Hands-on experience with writing Python code
• Proven ability to develop, optimize, and debug large-scale Python applications.
• Familiar with Agile Methodologies
• Must have practical experience building and managing data pipelines using Hadoop technologies
• Experience with Teradata performance tuning, query optimization, and data modeling required.
• Proficiency in executing and documenting User Acceptance Testing (UAT) is required.PNC will not provide sponsorship for employment visas or participate in STEM OPT 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.
  • 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.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetencies Analytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management BankingWork Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.Education BachelorsCertifications No Required Certification(s)Licenses No Required License(s)Pay Transparency Base Salary: $65,000.00 – $169,780.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the
  • Pittsburgh, Pennsylvania, United States

Languages

  • English
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