Fraud Analytics Lead Analyst

Bank of America

. Lead the creation, implementation, and maintenance of fraud strategies and controls designed to detect and prevent tokenization-related fraud .

Posted 10/27/2026full-timeUnited StatesSenior💰 $148,900 - $167,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing fraud strategies and controls, utilizing SQL, SAS, and data visualization tools like Tableau to analyze fraud trends and enhance detection methods. Strong analytical and problem-solving skills are essential for identifying actionable insights and optimizing fraud performance in dynamic environments.

Highest-signal resume keywords

Fraud Strategy DevelopmentSQL CodingSAS CodingData AnalysisFraud Risk Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLSASData AnalysisStatistical MethodsPerformance MeasurementFraud Mitigation StrategiesRoot Cause AnalysisTokenizationFraud DetectionBig Data Environments

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsIndependent WorkAdaptability

Tools & Technologies

TableauHadoopHiveImpalaRelational Databases

Industry Keywords

Fraud PreventionDigital PaymentsPayment CardsAccount TakeoverDigital Wallet Ecosystems

Tech Stack

Tools & technologies

HadoopPythonSQLTableau

About the role

Key responsibilities & impact

Lead the creation, implementation, and maintenance of fraud strategies and controls designed to detect and prevent tokenization-related fraud
Analyze fraud trends, customer behavior, transaction activity, and token lifecycle data to identify emerging threats and opportunities
Conduct root cause analysis of fraud losses and control breakdowns
Develop and implement fraud mitigation strategies
Monitor strategy performance and recommend enhancements to improve fraud detection and reduce customer friction
Evaluate data to assess fraud risk and develop actionable recommendations
Recommend policy and procedural changes to optimize fraud performance
Work with Fraud Strategy, Digital, Operations, Payment Network partners, business counterparts, and partner organizations
Utilize SQL, SAS, Tableau, and relational databases to analyze fraud trends and evaluate strategy performance

Requirements

What you’ll need

3+ years of strategy creation experience and/or fraud experience
3+ years of SQL and/or SAS coding experience
Experience analyzing large datasets and identifying actionable insights
Ability to identify opportunities for improvement and work independently with minimal direction
Ability to work in a fast-paced, dynamic environment
Strong analytical, problem-solving, and communication skills
Familiarity with data visualization tools, preferably Tableau
Proficiency coding in SQL, SAS, and/or Python
Experience with Hadoop, Hive, Impala, or similar big data environments
Understanding of statistical methods and performance measurement
Fraud strategy experience supporting payment cards, digital payments, tokenization, authentication, or account takeover
Understanding of digital wallet ecosystems including device wallets and network tokenization

Benefits

Comp & perks

Annual discretionary incentive plan eligibility
Industry-leading benefits
Paid time off
Resources and support for employees
In-office culture supporting collaboration, engagement, and career development
Opportunities to learn, grow, and make an impact