Senior Fraud Analytics and Innovation Analyst – Digital Fraud, Scam

Bank of America

. Perform complex analysis and modeling to minimize fraud loss exposure and negative customer-experience impacts .

Posted 10/8/2026full-timeUnited StatesSenior💰 $100,000 - $133,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced analytical and quantitative skills to minimize fraud loss exposure and enhance operational performance. Proficient in using data-driven strategies and tools like SAS, SQL, and Excel to support decision-making and improve business outcomes.

Highest-signal resume keywords

SAS ProficiencySQL ProficiencyExcel ProficiencyFraud Analysis ExperienceData-Driven Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFinancial ModelingStatistical AnalysisRisk AssessmentProcess Optimization

Soft Skills

Critical ThinkingCommunication SkillsInnovative MindsetTeam CollaborationIndependent Judgment

Tools & Technologies

TableauRelational DatabasesMachine Learning Technology

Industry Keywords

Fraud Risk ManagementChargeback RecoveryPayment ProcessingQuantitative DisciplineOperational Performance

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Perform complex analysis and modeling to minimize fraud loss exposure and negative customer-experience impacts
Analyze financial models, market data, financial data, and portfolio trends to improve risk, profitability, forecasting, and operational performance
Use Excel, SAS, SQL, Tableau, and relational databases to support strategies and ensure goals are met
Evaluate data for potential fraud risk and create mitigation strategies
Propose policy and procedural changes within segmentation structures
Recommend data-driven actions to support business outcomes and informed decisions
Lead production of product-performance reports and updates for senior management
Develop complex program models to extract data and acquire statistical and financial data from multiple databases
Support biometrics capability enhancements and strategy design
Build and develop logic for fraud strategies
Lead project scope, fraud requirements, testing, and strategy development
Participate in rollout of machine-learning technology
Communicate with multiple levels of management using discretion and independent judgment

Requirements

What you’ll need

2+ years of analytical experience (Payment background preferred)
Proficient in SAS or SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate professionally with executive-level personnel across the business
Ability to work independently and as part of a virtual team
Innovative mindset and ability to challenge the status quo
Ability to identify, analyze, and improve existing processes for optimization and meet deadlines
3+ years of fraud experience (desired)
Bachelor's degree in a quantitative discipline such as mathematics, statistics, operations research, finance, or business (desired)
Advanced analytical and quantitative skills using data and metrics to identify root causes (desired)
Basic understanding of 1st and 3rd party fraud, including claims-to-charge-off timing and chargeback recovery rights (desired)
Availability for 1st shift in the United States of America
40 hours per week

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Annual discretionary incentive plan award based on performance and company results
Paid time off
Resources and support to contribute to business and community impact