Enterprise Fraud Portfolio Analytics & Strategy Analyst

PNC

Fraud analytics analyst coding and deploying strategies to mitigate losses at PNC, a diversified financial services company. Analyzing portfolios, risk, and performance to improve financial outcomes.

Posted 9/3/2026full-timePittsburgh • Alabama, Arizona, Colorado, Kentucky, Ohio, Pennsylvania, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $75,000 - $137,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud strategy development and implementation, utilizing advanced analytical methods and tools such as SQL, R, and Python to enhance risk management and financial reporting processes. Proven ability to analyze large datasets for improved decision-making and performance tracking.

Highest-signal resume keywords

SQLRPythonFraud ExperienceAnalytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Science SkillsPredictive ModelingBusiness Performance AnalyticsRisk AnalysisFinancial Reporting

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

PowerAutomatePowerBI

Industry Keywords

Fraud MitigationCredit RiskOperational RiskRegulatory ReportingMarket Risk

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Code and deploy fraud strategies to mitigate fraud losses
Provide financial and regulatory reporting and analyses
Maintain adequate controls over financial and regulatory reporting processes
Run complex business performance, risk, and operational analytics
Develop analytical methods and models to assess market, credit, and operational risk
Analyze large datasets to improve risk-adjusted returns and deliver profitable growth
Communicate analytical conclusions and recommend and implement business strategies
Improve lending decisions, manage risk, increase revenues, reduce loss exposure, meet business goals, and improve performance
Establish strategy baselines and track actual performance against expectations
Apply predictive models, third-party data, and other tools for segmentation and targeting
Manage engagements with internal and external information suppliers
Work with business, credit, data, and model development partners to design, develop, and monitor tests and analytical reporting
Design and enhance standard reporting suites for product and portfolio reviews
Collaborate with line of business, Finance, and Risk partners to assess and establish credit risk appetite and related policies and procedures

Requirements

What you’ll need

SQL, R, Python, PowerAutomate, PowerBI, and data science skills
Understanding of Boolean logic
Fraud experience in deposits, digital, new account origination, and/or card fraud
Strong analytical skills
Ability to work longer or off hours if needed during a fraud incident
No employment visa sponsorship or STEM OPT participation
2+ years of relevant professional experience
University/college degree, typically; a comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
Bachelor's degree
No required certifications
No required licenses

Benefits

Comp & perks

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 plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
15 to 25 vacation days each year, depending on career level
Additional vacation based on years of service