Apply on Employer Site

PNC · 8 hours ago

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

Pittsburgh, PA

Full-time

Onsite

Mid, Senior Level

$55K/yr - $147K/yr

3+ years exp

PNC is a leading financial services company committed to delivering the best experience for its customers. They are seeking a Portfolio Analytics & Strategy Analyst Senior to provide analytical support in the implementation and maintenance of quantitative risk measurement models for wholesale portfolios. This role involves contributing to project phases, conducting data analysis, and collaborating with various teams to enhance lending decisions and manage risk.

BankingFinanceFinancial Services

No H1B

Responsibilities

Contribute in the development, compilation and maintenance of deliverables across all project phases (inception through user acceptance testing)

Assist with identifying and optimally defining process flows and user interface use cases and requirements

Participate in business sessions to facilitate requirement gathering (to include documentation and the ability to ask the right questions)

Ensure delivered work product meets/performs to functional requirements based on business requirements defined and approved by key stakeholders

Participate as a member of the testing team in both unit and user acceptance testing phases

Demonstrate an understanding of the project scope change control process and procedures

Assist in performing data analysis, creating reports and visualizations

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

Qualification

Quantitative Risk ModelsData AnalysisPega TechnologySQLPythonAnalytical ThinkingFinancial AnalysisModel DevelopmentCommunication SkillsInterpersonal SkillsTime ManagementOrganizational Skills

Required

Minimum of BA/BS degree, and 3+ years of professional experience, or a Master's degree and 1-2 years of professional experience

Analytical aptitude and critical thinking

Experience in analysis, requirement gathering, design, software development lifecycle and large scale enterprise application systems

Ability to learn complex material quickly, allocate time efficiently; handle multiple projects and deliverables concurrently, while managing competing priorities

Strong communication, interpersonal, time management and organizational skills

Knowledge of Microsoft Office Products including Word, Excel, Access

Working knowledge of database programming languages such as SQL, SAS, Python (preferred), etc