Portfolio Analytics & Strategy Specialist – Fraud Model Analyst

PNC

. Oversee development, testing, and validation of machine learning and statistical models for fraud detection and deterrence .

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $91,000 - $169,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing, testing, and validating machine learning and statistical models for fraud detection, with a strong focus on risk management and regulatory compliance. Proficient in data analysis, model evaluation, and providing leadership to modeling teams while effectively communicating complex results to diverse audiences.

Highest-signal resume keywords

Machine Learning Model DevelopmentStatistical Modeling and ValidationProficiency in R or PythonSQL and Large Dataset ManagementFinancial and Operational Risk Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical ModelingData AnalysisPredictive AnalyticsData VisualizationProbabilityLinear AlgebraGraph Database ExperienceHadoopSQL

Soft Skills

LeadershipCoachingCommunicationProblem SolvingCollaboration

Tools & Technologies

RPythonHadoopSQLTrilliumTableau

Industry Keywords

Fraud DetectionRisk ManagementRegulatory ComplianceFinancial ServicesData Management

Tech Stack

Tools & technologies

HadoopPythonSQLTableau

About the role

Key responsibilities & impact

Oversee development, testing, and validation of machine learning and statistical models for fraud detection and deterrence
Conduct model testing, monitoring, defect resolution, and analysis according to model development lifecycle standards
Communicate with and support model users, downstream model owners, oversight, validation, risk management, internal audit, external audit, and regulatory compliance partners
Direct qualitative and quantitative assessments of model theory, design, implementation, data quality, and data integrity
Review model documentation, monitoring, quality-control findings, and model controls
Evaluate model risks, defects, and issues; determine model strengths and limitations; and resolve model shortcomings
Provide leadership, direction, and oversight to model developers, including developers in remote and offshore locations
Coach, train, and provide best practices to the modeling team
Solve business problems using structured analytical approaches and present results to less technical audiences and senior management
Provide financial and regulatory reporting and analyses
Run complex business performance, risk, and operational analytics
Develop analytical methods and models to assess market, credit, and operational risk
Analyze large datasets, improve risk-adjusted returns, deliver profitable growth, and communicate conclusions
Develop, recommend, and implement business strategies that improve lending decisions, manage risk, increase revenues, reduce losses, and improve performance
Establish strategy baselines and track actual performance against expectations
Apply predictive models and third-party data for segmentation and targeting in acquisition and portfolio strategies
Manage engagements with internal and external information suppliers while maintaining governance and oversight
Design, develop, and monitor test designs and analytical reporting with business, credit, data, and model development partners
Design and enhance standard reporting suites for product and portfolio reviews
Collaborate with line of business, Finance, and Risk partners to establish credit risk appetite and related policies and procedures

Requirements

What you’ll need

Bachelor's degree
5+ years of industry-relevant experience
Comparable combination of education, job specific certification(s), and experience may be considered in lieu of a degree
Proficiency with R or Python and Hadoop
Proficiency in SQL and working with large datasets
Solid understanding of probability, linear algebra, and statistical modeling
Experience with statistical modeling and validation
Data science, statistics, and data analytics knowledge
Graph database experience
Data correlation and visualization skills
Knowledge of financial and operational risk, credit risk, predictive analytics, and regulatory environment in financial services
No employment visa sponsorship or STEM OPT participation
Trillium and/or Tableau proficiency is desirable but not required
Knowledge of data management is desired but not required

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
Between 15 to 25 vacation days each year, depending on career level and years of service