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PNC · 8 hours ago

Portfolio Analytics & Strategy Specialist Senior - Balance Sheet Analytics & Modeling

PA - Pittsburgh (15222)

Full-time

Onsite

Senior Level, Lead/Staff

$96K/yr - $187K/yr

8+ years exp

PNC is a bank that prioritizes the experience of its customers and the value of its employees. They are seeking a Portfolio Analytics & Strategy Specialist Senior to provide financial and regulatory reporting, run complex analytics, and develop strategies to improve lending decisions and manage risk. This role requires collaboration with various teams to assess credit risk appetite and enhance reporting and analytics processes.

BankingFinanceFinancial Services

No H1B

Responsibilities

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

Qualification

PythonData AnalyticsModel DevelopmentCredit RiskTableauMachine LearningPredictive AnalyticsAnalytical ThinkingOperational RisksQuantitative ModelsRisk AppetiteCommunication SkillsProject Management

Required

Experience with consumer credit strategy development, optimization, reporting, and monitoring

Analytics experience supporting credit cards, personal loans, or mortgage products preferred

Strong technical proficiency in: Python, Hadoop, and Tableau (or similar programs)

Familiarity with machine learning, advanced analytics and statistical modeling using Python/R

Strategic thinker with the ability to translate complex business questions into analytical frameworks and actionable recommendations

Attention to details, ability to create clear, crisp, and actionable insights, proven experience managing analytics and delivering actionable insights

Strong storytelling skills with the ability to write and present complex data findings to both technical and non-technical audiences, including senior and executive leadership

Demonstrated ability to align analytics strategies with business goals and stakeholder needs

Exceptional project management, organizational, and communication skills

Strong problem-solving skills, with the ability to handle complex data challenges and find practical solutions

Independent thinker with proven ability to adapt quickly to new tools, technologies, and business environments

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, job specific certification(s), and experience (including military service) may be considered

Bachelors