Senior Fraud Analytics and Innovation Analyst

Bank of America

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

Posted 10/14/2026full-timeUnited StatesSenior💰 $100,000 - $133,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, fraud risk assessment, and strategy development, utilizing tools such as SAS, SQL, and Excel to derive actionable insights and optimize operational performance. Strong background in fraud management and the ability to communicate effectively with executive-level personnel are essential.

Highest-signal resume keywords

Advanced AnalyticsFraud Risk AssessmentSAS/SQL ProficiencyData-Driven Decision MakingQuantitative Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced AnalyticsFraud Risk AssessmentData AnalysisFinancial ModelingQuantitative AnalysisStrategy DevelopmentData QualityOperational Performance EvaluationExcel ProficiencySAS Proficiency

Soft Skills

Critical ThinkingProfessional CommunicationCollaborationInnovative MindsetProcess Optimization

Tools & Technologies

SASSQLExcelTableauRelational Databases

Industry Keywords

Fraud ManagementPayment CardRetail BankingFirst-Party FraudThird-Party FraudChargeback RecoveryBusiness Analytics

Tech Stack

Tools & technologies

SQLTableau

About the role

Key responsibilities & impact

Perform complex analysis and modeling to minimize fraud loss exposure and negative impacts to the customer experience
Perform advanced analytics, modeling, and strategy development for Reward Points redemption fraud and other fraud risks
Create, implement, and maintain rules and capabilities designed to detect Reward Point Redemption fraud
Derive actionable insights from complex data
Build and develop logic for strategy
Analyze financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, forecasting, and operational performance
Use Excel, SAS, SQL, Tableau, and relational databases to support fraud strategies and evaluate operational performance
Assess potential fraud risk, identify emerging threats, and develop mitigation strategies
Propose policy and procedural changes within segmentation structures
Recommend data-driven actions to achieve desired business outcomes
Work closely with internal and external partners to understand limitations and improvement opportunities

Requirements

What you’ll need

2+ years of analytical experience (Payment card /Retail Bank background preferred)
Proficient in SAS/SQL and Excel
Strong quantitative, critical thinking, and analytical skills
Ability to communicate and interact with a high degree of professionalism with executive level personnel across the business
Ability to work independently as well as part of a virtual team
Innovative mindset with the ability to challenge the status quo
Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines
Bachelor’s degree in mathematics, statistics, operations research, finance, business, or a related quantitative field (desired)
3+ years of fraud experience (desired)
Basic knowledge of first- and third-party fraud, including claims-to-charge-off timing and chargeback recovery rights (desired)
Fraud management; monitoring, surveillance, and testing; business analytics; data quality; innovation and research; written/verbal communication; collaboration (desired)

Benefits

Comp & perks

Affordable, competitive and flexible benefits
Support for teammates’ physical, emotional, and financial wellness
Opportunities to learn, grow, and make an impact
Annual discretionary incentive award eligibility based on individual, line of business/group, and Company performance
Paid time off
Resources and support to contribute to business and community impact