Data Science Expert – Emerging Fraud Risk Lead

PNC

. Establish and mature the Emerging Fraud Risk capability .

Posted 10/16/2026full-timeUnited StatesSenior💰 $133,000 - $217,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in fraud analytics, machine learning, and risk modeling, with a strong ability to translate complex analytical findings into actionable strategies. Proven experience in leading cross-functional initiatives and developing scalable solutions using advanced data processing techniques.

Highest-signal resume keywords

Fraud AnalyticsMachine LearningData ScienceSQLPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Anomaly DetectionPredictive ModelingBehavioral AnalyticsNetwork AnalysisModel ValidationStatistical AnalysisClusteringSparkPySparkScikit-learn

Soft Skills

Strong CommunicationStakeholder ManagementLeadership Through Influence

Tools & Technologies

XGBoostLightGBMPandasNumPy

Industry Keywords

Credit CardLendingFinancial ServicesFraud DetectionRisk Management

Tech Stack

Tools & technologies

NumpyPandasPySparkPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Establish and mature the Emerging Fraud Risk capability
Create a scalable and repeatable pipeline of fraud detection and mitigation opportunities
Identify emerging fraud threats, attack patterns, and vulnerabilities across Credit Card and Lending products
Apply advanced analytics, machine learning, anomaly detection, behavioral modeling, and network analysis to uncover evolving fraud risks
Conduct complex investigations into emerging fraud behaviors
Translate analytical findings into actionable recommendations and control opportunities
Bridge portfolio monitoring and incident response teams
Partner with Fraud Strategy, Countermeasures Analytics, Monitoring, Risk Management, Product, and Technology teams
Design and recommend detection strategies, fraud signals, and control enhancements
Lead end-to-end analytical initiatives using large-scale structured and unstructured data
Provide subject matter expertise in fraud analytics, machine learning, and risk modeling
Establish best practices for experimentation, model validation, and detection development
Influence strategic priorities and investment decisions through data-driven insights and executive-level presentations
Evaluate emerging analytical methodologies and technologies
Drive innovation and thought leadership in fraud analytics and emerging risk management

Requirements

What you’ll need

Experience in fraud analytics, data science, machine learning, or risk management, preferably within Credit Card, Lending, or Financial Services
Experience using Spark / PySpark to process large-scale datasets and develop scalable analytical and machine learning solutions in a production environment
Advanced experience using SQL, Python, and data science libraries to extract, analyze, and model large datasets
Hands-on experience developing, testing, and validating machine learning models using Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, or comparable technologies
Strong foundation in statistics, experimentation, and model validation
Proven ability to develop and deploy machine learning models and analytical solutions
Experience with anomaly detection, predictive modeling, clustering, behavioral analytics, and network/graph analysis
Experience investigating complex fraud trends and translating findings into actionable recommendations
Demonstrated leadership through influence across cross-functional teams
Strong communication and stakeholder management skills
Experience partnering across fraud, risk, strategy, business, and technology teams
University / college degree typically required; comparable combination of education, job-specific certifications, and experience may be considered in lieu of a degree
Industry experience typically 8+ years
No required certifications
No required licenses
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position

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 paid time off based on years of service
Reasonable workplace accommodations